TWI789641B - Appratus and method for evaluating the operation status of a vibration equipment - Google Patents

Abstract

An operation status evaluation apparatus and an operation status evaluation method for a vibration equipment are disclosed herein. The operation status evaluation apparatus stores a plurality of weight values corresponding to a plurality of signal analysis operations and a theoretical value of frequency of the vibration equipment, and performs the plurality of signal analysis operations to a plurality of target vibration signals generated by the vibration equipment, so as to generate a plurality of analysis results. Then, the operation status evaluation apparatus calculates a score of operation status of the vibration equipment according to the theoretical value of frequency, the plurality of analysis results and the weight value of the signal analysis operation corresponding to each of the analysis results.

Description

Device and method for evaluating the operating state of vibrating equipment

The present disclosure relates to an operation state evaluation device and an operation state evaluation method for a vibrating equipment. More specifically, the present disclosure relates to an operation state evaluation device and an operation state evaluation method for determining the usage ratio of various signal analysis operations for a vibration device by adjusting weight values.

"Vibration equipment" generally refers to equipment that is accompanied by vibration during operation, such as but not limited to: various production machines on the production line, various machines with engines and/or motors, etc. For a vibrating device, its operating status can be evaluated by collecting and analyzing the vibration signals it sends out, so as to facilitate early repair or maintenance before the vibrating device becomes abnormal or damaged. Vibration signals can be analyzed through various signal analysis operations, such as short-time Fourier transform, Wigner quasiprobability distribution, etc.

When the amount of vibration signal data is huge, in practice, multiple signal analysis operations are used at the same time to ensure that the extracted features are not too single, and due to the characteristics of various vibration equipment, the type of vibration signal emitted by the vibration equipment, and even the use of The evaluation results required by each are different, and each may have applicable and inapplicable signal analysis operation types. In view of the above situation, there is an urgent need in the art for a method that can efficiently determine the type of signal analysis operation corresponding to a specific vibration device, so as to exactly meet the needs of users.

In order to at least solve the above problems, the present disclosure provides a device for evaluating the operating state of a vibrating device. The operating state evaluation device may include a storage and a processor electrically connected to the storage. The memory can be used to store a plurality of weight values corresponding to a plurality of signal analysis operations and a theoretical value about the operating state of the vibrating device. The processor can be used to execute one of the plurality of signal analysis operations on each of the plurality of target vibration signals generated by the vibration device according to the plurality of weight values, so as to generate an analysis result respectively. In addition, the processor can be further used to calculate an operation status score for the vibration device according to the theoretical value, the analysis result corresponding to each of the plurality of target vibration signals and the weight value of the signal analysis operation.

In order to at least solve the above problems, the present disclosure also provides a method for evaluating the operating state of a vibrating device. The operating state evaluation method can be executed by a computing device, and the computing device can store a plurality of weight values corresponding to a plurality of signal analysis operations and a theoretical value about the operating state of the vibration equipment. The operational status assessment method may include the following steps: performing one of the plurality of signal analysis operations on each of the plurality of target vibration signals generated by the vibration device according to the plurality of weight values, so as to generate an analysis result respectively; and According to the theoretical value, the analysis result corresponding to each of the plurality of target vibration signals and the weight value of the signal analysis operation, an operating status score for the vibration equipment is calculated.

To sum up the above, the operating status evaluation device and the operating status evaluation method provided in this disclosure can adjust the weight values of multiple signal analysis calculations by referring to user feedback, and then can stably evaluate the vibration equipment according to the judgment criteria that meet the needs of users. operation state, so the above-mentioned technical problems in the technical field are solved. In addition, once the weight value setting of the signal analysis operation is completed in the operating state evaluation device provided by the present disclosure, it does not need to be re-adjusted for the same vibration device, which greatly increases the convenience of use.

The summary of the invention describes the core concept of the present invention as a whole, and covers the problems that the present invention can solve, the means that can be adopted, and the effects that can be achieved, so as to provide a basic understanding of the present invention for those skilled in the art to which the present invention belongs. It should be understood, however, that this summary is not intended to summarize all embodiments of the invention but merely presents key concepts of the invention in simplified form as a prelude to the detailed description that follows.

The various embodiments described below are not intended to limit that the present invention can only be implemented in the described environment, application, structure, process or steps. In the drawings, elements not directly related to the present invention have been omitted. In the drawings, the size of each element and the ratio between each element are just examples, not intended to limit the present invention. Unless otherwise specified, in the following content, the same (or similar) component symbols may correspond to the same (or similar) components.

FIG. 1 illustrates an operating state evaluation device for vibration equipment according to one or more embodiments of the present invention. The content shown in FIG. 1 is only for illustrating an embodiment of the present invention, but not for limiting the present invention.

Referring to FIG. 1 , an operating state assessment device 11 basically includes a storage 111 and a processor 112 , and the processor 112 is electrically connected to the storage 111 . The electrical connection between the storage 111 and the processor 112 can be direct (that is, not connected to each other through other components) or indirect (that is, connected to each other through other components). The operating status assessment device 11 can be various types of computing devices, such as desktop computers, portable computers, mobile phones, portable electronic accessories (glasses, watches, etc.). The operation state evaluation device 11 can be used to evaluate the operation state of a vibration device 12 and determine an operation state score for it.

In some embodiments, the operating state assessment device 11 may further include a sensor 113 . The sensor 113 can be electrically connected with the processor 112, and can be used to sense various vibration signals generated by the vibration device 12, such as a plurality of training vibration signals TS1, TS2, TS3 for training or used after training. A plurality of target vibration signals S1 , S2 , S3 are obtained through calculation and analysis. The sensor 113 may be a signal receiver capable of sensing vibration signals. The aforementioned plurality of training vibration signals TS1 , TS2 , and TS3 are only used to explain the implementation of the present invention, and are not limited to three training vibration signals. The aforementioned plurality of target vibration signals S1 , S2 , S3 are only used to explain the implementation of the present invention, and are not limited to three target vibration signals.

The storage 111 can be used to store the data generated by the operating status evaluation device 11 , the data imported from an external device, or the data input by the user. The storage 111 may include a first-level memory (also called main memory or internal memory), and the processor 112 may directly read instruction sets stored in the first-level memory, and execute these instruction sets when needed. The storage 111 can optionally include a secondary memory (also called external memory or auxiliary memory), and this memory can transfer stored data to the primary memory through a data buffer. For example, the secondary memory can be but not limited to: hard disk, optical disk, etc. The storage 111 may optionally include a tertiary memory, that is, a storage device that can be directly plugged into or removed from the computer, such as a portable hard disk. The memory 111 can be used to store a plurality of preset weight values PW1 , PW2 , PW3 and a plurality of weight values W1 , W2 , W3 corresponding to a plurality of signal analysis operations, and a theoretical frequency value TFV related to the operating state of the vibrating device 12 . The theoretical frequency value TFV is a theoretical value related to the frequency in the vibration signal generated by the vibration device 12 during normal operation, which can be set arbitrarily by the user or obtained by evaluating the specifications of the vibration device 12 . The aforementioned plurality of preset weight values PW1, PW2, and PW3 are only used to explain the embodiment of the present invention, and are not limited to three preset weight values, that is, the number of preset weight values can be performed corresponding to the signal analysis operation set up. The aforementioned multiple weight values W1 , W2 , W3 are only used to explain the embodiment of the present invention, and are not limited to three weight values, that is, the number of weight values can be set corresponding to the signal analysis operation.

Specifically, the plurality of signal analysis operations can be various operations performed on the signal body or the converted or pre-processed signal, such as spectral analysis, envelope analysis, cepstrum analysis, high-order spectral analysis, short-time Fourier transform , Wigner quasi-probability distribution, spectral demeanor analysis, cyclostationary analysis, amplitude average calculation, voltage level distribution calculation, voltage value symmetry distribution calculation, crest factor calculation, envelope analysis, etc. In some embodiments, the memory 111 can also be used to store parameters, algorithms, program codes and other elements required to execute the multiple signal analysis operations. In some embodiments, the plurality of signal analysis operations can be further divided into a frequency analysis operation and an amplitude frequency analysis operation. For example, the frequency analysis operation may at least include short-time Fourier transform, Wigner quasi-probability distribution, spectral grace, cyclostationary analysis, etc., and the amplitude-frequency analysis operation may at least include spectral analysis, envelope analysis, cepstrum analysis, Advanced spectral analysis and more.

The processor 112 may be a microprocessor or a microcontroller with a signal processing function. Microprocessor or microcontroller is a programmable special integrated circuit, which has the ability of calculation, storage, output/input, etc., and can accept and process various coded instructions, so as to perform various logic operations and arithmetic operations, and output corresponding operation results. The processor 112 can be programmed to interpret various instructions, to process data in the operating state assessment device 11 and to execute various calculation procedures or programs. The processor 112 can be configured to perform any one of the plurality of signal analysis operations on the vibration signal.

In some embodiments, the processor 112 may perform preprocessing on the vibration signal before performing the signal analysis operation on the vibration signal, so as to meet the requirements of the signal analysis operation on input data. For example, the processor 112 may perform high-pass filtering, low-pass filtering, band-pass filtering and other processing on the vibration signal first. In addition, the processor 112 can also perform corresponding conversion (eg time domain conversion/frequency domain conversion) on the signal according to its characteristics (eg: linear/nonlinear signal).

FIG. 2 illustrates an operational status assessment process according to one or more embodiments of the present invention. The content shown in FIG. 2 is only for illustrating the embodiment of the present invention, but not for limiting the present invention.

Referring to FIG. 1 and FIG. 2 at the same time, in order to evaluate the operating status of the vibration equipment 12, the processor 112 can execute an operating status evaluation process 2, and the operating status evaluation process 2 can include at least a plurality of actions 201, 202, 203, 204 , 205, 206, 207. Firstly, in action 201 , the processor 112 may perform the plurality of signal analysis operations on the training vibration signals TS1 , TS2 , TS3 according to the preset weight values PW1 , PW2 , PW3 corresponding to the plurality of signal analysis operations. For example, the processor 112 can randomly select one of the plurality of signal analysis operations to process each of the training vibration signals TS1, TS2, TS3 according to the preset weight values PW1, PW2, PW3, and then respectively Generate corresponding training analysis results. In some embodiments, the processor 112 can also perform more than one signal analysis operation on the same training vibration signal according to the preset weight values PW1, PW2, PW3 corresponding to the plurality of signal analysis operations, so as to generate the training Analyze the results.

More specifically, for ease of description, it is assumed in the following description that the vibration device 12 generates three training vibration signals, namely the training vibration signals TS1, TS2, and TS3, and the processor 112 can perform three kinds of signal analysis operations, namely " Short-time Fourier transform", "average value", and "envelope analysis", the corresponding preset weight values PW1, PW2, and PW3 are "0.5", "0.2", and "0.3" respectively. According to the preset weight values PW1, PW2, and PW3, the processor 112 can randomly select the "short-time Fourier transform" that belongs to the frequency analysis operation for the training vibration signals TS1 and TS2, and performs the amplitude-frequency analysis operation for the training vibration signal TS3. "Envelope analysis", and then calculate the vibration frequency of the training vibration signal TS1, TS2 and the amplitude of the training vibration signal TS3, such as "21 Hz", "18 Hz" and "1.05 cm" respectively, so as to obtain a first A training analysis result, a second training analysis result and a third training analysis result.

Next, in action 202, the processor 112 can calculate the vibration equipment according to the theoretical frequency value TFV, the plurality of training analysis results, and the preset weight values PW1, PW2, PW3 of the signal analysis operation corresponding to the plurality of training analysis results. A performance training score of 12. Further, for each of the plurality of training analysis results, if the training analysis result is corresponding to a frequency analysis operation (that is, the training analysis result is generated through a frequency analysis operation, such as the above-mentioned first training analysis result and the second training analysis result), then the processor 112 can compare the training analysis result corresponding to the frequency analysis operation with the theoretical frequency value TFV; if the training analysis result is corresponding to the amplitude frequency analysis operation (that is, the training analysis result is generated through the amplitude-frequency analysis operation, such as the above-mentioned third training analysis result), then the processor 112 can instead compare the training analysis result corresponding to the amplitude-frequency analysis operation with an amplitude theoretical value, and then generate a training comparison result. After obtaining the training comparison result corresponding to the plurality of training analysis results, the processor 112 may calculate the training comparison result according to the preset weight value of the signal analysis operation corresponding to each of the plurality of training analysis results Work Status Training Score.

Specifically, the processor 112 may compare the first training analysis result (ie, 21 Hz) and the second training analysis result (ie, 18 Hz) with the theoretical frequency value TFV (eg, "20 Hz") respectively , and the third training analysis result (ie, 1.05 cm) can be compared with the amplitude theoretical value (eg: 1 cm) to generate a first training comparison result, a second training comparison result, and a third training comparison result, respectively. Training comparison results.

In some embodiments, the specific comparison method can be: depending on the type of the training analysis result (that is, frequency or amplitude), correspondingly subtract the training analysis result from the frequency theoretical value TFV/the amplitude theoretical value and then take the absolute value , and then divided by the theoretical value of frequency TFV/theoretical value of the amplitude. That is, at this time, the first training comparison result, the second training comparison result and the third training comparison result may be “5%”, “10%” and “5%” respectively. Next, the processor 112 may multiply the first training comparison result, the second training comparison result, and the third training comparison result by the corresponding default weight values PW1, PW2, and PW3 of the signal analysis operation (ie, weighted ) and add up, multiply the summed result by "100" to get the gap result, and regard the gap result as the gap with the full score (for example: 100 points), which is "6 points" in this example . Finally, the processor 112 may calculate the operating state training score as "94 points" according to the calculated gap. In a modified embodiment of the foregoing embodiment, the first training analysis result, the second training analysis result, and the third training analysis result are respectively compared with their corresponding frequency theoretical value TFV and the amplitude theoretical value, and the higher value of the two is used. The larger one is the denominator, the smaller one is the numerator (for example: frequency theoretical value TFV (i.e., 20 Hz) / first training analysis result (i.e., 21 Hz); second training analysis result (i.e., 18 Hz) / frequency theory value TFV (i.e., 20 Hz); amplitude theoretical value (i.e., 1 cm)/third training analysis result (i.e., 1.05 cm)), to obtain another form of the first training comparison result, the second training comparison result and the third training comparison result Three training comparison results, the first training comparison result, the second training comparison result and the third training comparison result are multiplied by the corresponding preset weight values PW1, PW2, PW3 of the signal analysis operation and then summed up (ie , "20/21*0.5+18/20*0.2+1/1.05*0.3") to obtain the calculation result, and multiply the calculation result by "100" to obtain the operational state training score (ie, 94 points).

In some embodiments, if the processor 112 adopts the signal analysis operation belonging to the amplitude frequency analysis operation, it can also be used to calculate the theoretical value of the amplitude of the vibration device 12 according to the theoretical frequency value TFV, and the storage 111 can also It can be used to store the theoretical value of the amplitude (not shown in the figure). Specifically, the processor 112 may first perform a signal analysis operation (for example, short-time Fourier transform) belonging to a frequency analysis operation on the training vibration signal TS1 , and then obtain a corresponding frequency value (for example, 21 Hz). Next, the processor 112 can determine whether the difference between the converted frequency value and the theoretical frequency value TFV (for example: 20 Hz) is not higher than a threshold value (for example: 5 Hz); If the frequency value is in line with the theoretical frequency value TFV, otherwise it is judged that the frequency value does not meet the theoretical frequency value TFV. Subsequently, the processor 112 can regard the training vibration signal TS1 whose frequency conforms to the theoretical value of the frequency as the vibration signal sent by the vibration device 12 during normal operation, and thus calculate the amplitude of the training vibration signal TS1 (for example: through the plurality of signal analysis Any one of the amplitude-frequency analysis calculations in the calculation), and the calculated amplitude is used as the theoretical value of the amplitude.

After calculating the operating state training score, in action 203 , the processor 112 may determine whether the user agrees with the operating state training score according to a user input data. That is, the user can feedback whether the operating state training score is consistent with the current state of the vibrating device 12 through the user input data. If it is determined that the user does not agree with the operating state training score, that is, the user feedbacks that the operating state training score is inconsistent with the current state of the vibrating device 12, the processor 112 can determine that the user does not agree with the operating state training score.

More specifically, in some embodiments, the user input data can be an ideal score corresponding to the operating state of the vibrating device 12, that is, the user can reflect his preference for the vibrating device through the ideal operating state score. 12 Judgment result of the current state. At this time, the processor 112 may also be configured to determine whether the user agrees with the operating state training score according to an error between the operating state training score and the operating state ideal score. If the error is lower than an error threshold, the processor 112 can determine that the user agrees with the operating state training score. On the contrary, if the error is not lower than the error threshold, the processor 112 can judge that the user disagrees with the operating state training score.

For example, assume that the ideal score of the operating state is "70 points" and the error threshold is "10 points", that is, the user judges that the current operating state of the vibration device 12 is only at the level of "70 points", And the user's acceptable score error is "10 points". In this case, the processor 112 may determine that the error between the operating state training score (ie, 96 points) and the operating state ideal score (ie, 70 points) is not lower than the error threshold (ie, 10 points) , and based on which it is judged that the user does not agree with the operating state training score.

In some embodiments, the user input data can also be a Boolean value, that is, the user can directly feedback whether he or she agrees with the operation status training score through the Boolean value. Therefore, the processor 112 can also be used to determine whether the user agrees with the operating state training score according to the Bollinger value (for example, a value of "1" indicates agreement, and a value of "0" indicates disagreement).

When it is determined that the user does not agree with the operating state training score, in action 204, the processor 112 may further adjust the plurality of preset weight values. Specifically, in some embodiments, if it is determined that the user does not agree with the operating state training score, the processor 112 may at least reduce the value of the highest among the plurality of preset weight values. For example, the processor 112 may reduce the preset weight value PW1 with the highest value from "0.5" to "0.3". In addition, in some embodiments, the processor 112 may adjust the preset weight value PW2 and the preset weight value PW3 to “0.3” and “0.4” respectively.

In some embodiments, in addition to reducing the value of the highest of the plurality of preset weight values, the processor 112 may instead, for each of the plurality of signal analysis operations, determine whether the corresponding analysis results There is an outlier (outlier). The outlier refers to one or more values that are significantly far away from other values among a plurality of values. It can be defined by operations commonly used in statistics to analyze the degree of dispersion/concentration of data, such as, but not limited to, for the plurality of values Calculate the mean and standard deviation and more. In view of the fact that when the vibrating device 12 is operating in a normal state, the analyzed results (for example: frequency or amplitude) of the vibration signals sent by it should tend to be consistent, so when the processor 112 judges a certain signal analysis operation When there are outliers in the generated analysis results, the signal analysis operation can be classified as abnormal. Accordingly, once the processor 112 determines in action 203 that the user does not agree with the operating state training score, it may decrease in action 204 the default weight value corresponding to the abnormal signal analysis operation.

In some embodiments, if the default weight values corresponding to each signal analysis operation are equal, once the processor 112 determines in action 203 that the user does not agree with the operating state training score, it can Randomly decrease any one of them, and randomly increase the preset weight values of other signal analysis operations.

After adjusting the preset weights PW1 , PW2 , and PW3 in action 204 , the processor 112 may execute actions 201 - 203 again until it is determined in action 203 that the user agrees to the operating state training score. Then, in action 205 , the processor 112 may determine the default weight values PW1 , PW2 , PW3 as the plurality of weight values W1 , W2 , W3 for the plurality of signal analysis operations. Through the execution of actions 201-205, the weight value distribution suitable for analyzing the vibration signal of the vibration equipment 12 can be determined in the plurality of signal analysis operations, so at this time the operating state evaluation device 11 has the ability to accurately evaluate the vibration equipment 12. operational status.

In view of this, in action 206 , the processor 112 may perform the plurality of signal analysis operations on the target vibration signals S1 , S2 , S3 according to the weight values W1 , W2 , W3 corresponding to the plurality of signal analysis operations. For example, the processor 112 may randomly select one of the plurality of signal analysis operations to process each of the target vibration signals S1, S2, S3 according to the weight values W1, W2, W3, and then generate corresponding analysis results. In some embodiments, the processor 112 may also perform more than one signal analysis operation on the same vibration signal according to the weight values W1 , W2 , W3 corresponding to the plurality of signal analysis operations to generate the analysis results.

Next, in action 207, the processor 112 can calculate an operation of the vibration device 12 according to the theoretical frequency value TFV, the plurality of analysis results, and the weight values W1, W2, and W3 of the signal analysis operations corresponding to the plurality of analysis results. status score. Further, for each of the plurality of analysis results, if the analysis result is corresponding to the frequency analysis operation (that is, the analysis result is generated through the frequency analysis operation), the processor 112 can compare the corresponding frequency The analysis result of the analysis operation and the frequency theoretical value TFV; if the analysis result is corresponding to the amplitude-frequency analysis operation (that is, the analysis result is generated through the amplitude-frequency analysis operation), the processor 112 can instead compare the corresponding amplitude The analysis result of the frequency analysis operation and the amplitude theoretical value further generate a comparison result respectively. After obtaining the comparison result corresponding to the plurality of analysis results, the processor 112 may analyze the weight values (for example: weight values W1, W2, W3) of the operation according to the signal corresponding to each of the plurality of analysis results and Compare the results, calculate the operating status score, and then end the operating status evaluation process 2 .

In some embodiments, the specific comparison method may be: depending on the type of analysis results (ie, frequency or amplitude), correspondingly subtract each analysis result from the theoretical frequency value TFV/the theoretical value of the amplitude and then take the absolute value, It is then divided by the frequency theoretical value TFV/the amplitude theoretical value. Next, the processor 112 can multiply each comparison result by the corresponding weight values W1, W2, and W3 of the signal analysis operation (that is, weighted) and sum them up, and multiply the summed results by "100" to obtain the difference Result, and treat the gap result as the difference from the full score (eg: 100 points). Finally, the processor 112 may calculate the operating status score according to the calculated gap. In some embodiments, depending on the type of analysis result (ie, frequency or amplitude), the larger of each analysis result and the theoretical value of frequency TFV (or the theoretical value of amplitude) is used as the denominator, and the smaller one is used as the numerator , to obtain each comparison result, and then multiply each comparison result with the corresponding weight value W1, W2, W3 of the signal analysis operation and add up to obtain the calculation result, and the processor 112 multiplies the calculation result by "100" to obtain the Operational Status Score.

In some embodiments, before the operation status assessment process 2 starts, the processor 112 can first sense the training vibration signals TS1 and TS2 through the sensor 113 . In some embodiments, after completing the action 205 , the processor can sense the target vibration signals S1 , S2 through the sensor 113 . However, in some other embodiments, the training vibration signals TS1, TS2 and/or the target vibration signals S1, S2 may be input by the user into the operating state evaluation device 11, or stored in the memory 111 in advance (not shown in the figure), so that the operation status evaluation device 11 can still smoothly execute the operation status evaluation process 2 when the vibration equipment 12 is not located around it.

In some embodiments, the operating state assessment device 11 may further include a transceiver (not shown in the figure), and the transceiver may be electrically connected to the storage 111 and the processor 112 . The transceiver can be used for wired or wireless communication with an external device (for example: communicating with a communication interface in a web server) to receive the user input data. In some embodiments, the transceiver can also be used to transmit the performance training score and/or the performance score to the external device, so as to present the scores to the user through the external device. In some embodiments, the transceiver may include a transmitter and a receiver. Taking wireless communication as an example, the transceiver may include but not limited to: antennas, amplifiers, modulators, demodulators, detectors, analog-to-digital converters, digital-to-analog converters and other communication components. Taking wired communication as an example, the transceiver can be, for example but not limited to: a gigabit Ethernet transceiver, a gigabit interface converter, GBIC), small form-factor pluggable (SFP) transceiver, ten gigabit small form-factor pluggable (XFP) transceiver, etc.

In some embodiments, the operating state evaluation device 11 may further include a set of input/output interfaces (I/O interface, not shown in the drawings), and the set of input/output interfaces may communicate with the storage 111 and the processor 112 is electrically connected and operable to present the operational status training score and/or the operational status score, and receive the user input data from the user. The set of input/output interfaces may be, for example but not limited to, a combination of communication ports for communicating with input elements (e.g. keyboard, mouse, etc.) A communication port for communicating with components with output functions (eg touch panel).

FIG. 3 illustrates a method for assessing operational status according to one or more embodiments of the present invention. The content shown in FIG. 3 is only to illustrate the embodiment of the present invention, but not to limit the present invention.

Figure 3 presents an operational status assessment method3. The operating state assessment method 3 can be applied to a vibrating device and can be executed by a computing device. The calculation device can store a plurality of weight values corresponding to a plurality of signal analysis operations and a theoretical frequency value of the vibrating device. Operational status assessment method 3 may include the following steps: performing the plurality of signal analysis operations on the plurality of target vibration signals generated by the vibration device according to the plurality of weight values to generate a plurality of analysis results (marked as 301 ); and According to the theoretical frequency value, the plurality of analysis results, and the weight value of the signal analysis operation corresponding to each of the plurality of analysis results, an operating state score (denoted as 302 ) for the vibration device is calculated.

In some embodiments, regarding the operation state assessment method 3, the plurality of signal analysis operations can be divided into a frequency analysis operation and an amplitude-frequency analysis operation, and the operation state evaluation method 3 may further include the following steps: calculating a theoretical value of the amplitude of the vibrating device according to the theoretical value of the frequency; For each of the plurality of analysis results, if the analysis result is corresponding to the frequency analysis operation, comparing the analysis result with the frequency theoretical value, and if the analysis result is corresponding to the amplitude frequency analysis operation, comparing the analysis result and the amplitude theoretical value, thereby each producing a comparison result; and The operation state score is calculated according to the weight value of the signal analysis operation corresponding to each of the plurality of analysis results and the comparison result.

In some embodiments, regarding the operation state assessment method 3, the computing device may also store a plurality of preset weight values corresponding to the plurality of signal analysis operations, and the operation state assessment method 3 may further include the following steps: The plurality of weight values are determined for the plurality of signal analysis operations according to the frequency theoretical value, the plurality of preset weight values, the plurality of training vibration signals generated by the vibration device and a user input data.

In some embodiments, regarding the operation state assessment method 3, the computing device may also store a plurality of preset weight values corresponding to the plurality of signal analysis operations, and the operation state assessment method 3 may further include the following steps: The plurality of weight values are determined for the plurality of signal analysis operations according to the frequency theoretical value, the plurality of preset weight values, the plurality of training vibration signals generated by the vibration device and a user input data. In addition, the plurality of target vibration signals and the plurality of target vibration signals can also be sensed by the computing device.

In some embodiments, the operation status assessment method 3 may also include the following steps: (b1) performing the plurality of signal analysis operations on the plurality of training vibration signals according to the plurality of preset weight values to generate a plurality of training analysis results; (b2) calculating an operating state training score for the vibrating device according to the theoretical frequency value, the plurality of training analysis results, and the preset weight values of signal analysis operations corresponding to the plurality of training analysis results; (b3) According to a user's input data, determine whether a user agrees with the operating state training score, and adjust the plurality of preset weight values when it is judged that the user does not agree with the operating state training score; and (b4) Repeat step (b1) to step (b3) until it is judged that the user agrees with the operating state training score, and the plurality of preset weight values are determined as the plurality of weight values.

In some embodiments, the operating state assessment method 3 may further include the following steps: (b1) performing the plurality of signal analysis operations on the plurality of training vibration signals according to the plurality of preset weight values to generate a plurality of training vibration signals Analysis results; (b2) Calculating an operating state training score for the vibration device based on the theoretical frequency value, the plurality of training analysis results, and the preset weight values of the signal analysis operations corresponding to the plurality of training analysis results; ( b3) According to a user's input data, determine whether a user agrees with the operating state training score, and adjust the plurality of preset weight values when it is judged that the user does not agree with the operating state training score; and (b4) repeatedly execute Step (b1) to step (b3), until it is determined that the user agrees with the operating state training score, and the plurality of preset weight values are determined as the plurality of weight values. In addition, the plurality of signal analysis operations can also be divided into a frequency analysis operation and an amplitude-frequency analysis operation, and step (b2) may further include the following steps: calculating a theoretical value of the amplitude of the vibrating device according to the theoretical value of the frequency; For each of the plurality of training analysis results, if the training analysis result corresponds to the frequency analysis operation, comparing the training analysis result with the frequency theoretical value, if the training analysis result is corresponding to the amplitude frequency analysis operation , then compare the training analysis result with the amplitude theoretical value, and then generate a training comparison result respectively; and The operating state training score is calculated according to the weight value of the signal analysis operation corresponding to each of the plurality of training analysis results and the training comparison result.

In some embodiments, the operating state assessment method 3 may further include the following steps: (b1) performing the plurality of signal analysis operations on the plurality of training vibration signals according to the plurality of preset weight values to generate a plurality of training vibration signals Analysis results; (b2) Calculating an operating state training score for the vibration device based on the theoretical frequency value, the plurality of training analysis results, and the preset weight values of the signal analysis operations corresponding to the plurality of training analysis results; ( b3) According to a user input data, determine whether a user agrees with the operating state training score, and adjust the plurality of preset weight values when it is judged that the user does not agree with the operating state training score, wherein the user input data It may be an ideal score corresponding to the operating state of the vibration device; and (b4) repeatedly execute steps (b1) to (b3) until it is judged that the user agrees with the operating state training score, and the plurality of preset weights The value is determined as the plural weight values. Besides, step (b3) may further include the following steps: judging whether the user agrees with the performance training score based on an error between the performance training score and the performance ideal score; Wherein, if the error is lower than an error threshold, it is determined that the user agrees with the operating state training score; if the error is not lower than the error threshold, it is determined that the user does not agree with the operating state training score.

In some embodiments, the operating state assessment method 3 may further include the following steps: (b1) performing the plurality of signal analysis operations on the plurality of training vibration signals according to the plurality of preset weight values to generate a plurality of training vibration signals Analysis results; (b2) Calculating an operating state training score for the vibration device based on the theoretical frequency value, the plurality of training analysis results, and the preset weight values of the signal analysis operations corresponding to the plurality of training analysis results; ( b3) According to a user input data, determine whether a user agrees with the operating state training score, and adjust the plurality of preset weight values when it is judged that the user does not agree with the operating state training score, wherein the user input data is a Boolean value; and (b4) repeatedly execute steps (b1) to (b3) until it is determined that the user agrees with the operating state training score, and the plurality of preset weight values are determined as the plurality of weight values . Besides, step (b3) may further include the following steps: Whether the user is satisfied with the operating state training score is judged according to the Bollinger value.

In some embodiments, the operating state assessment method 3 further includes the following steps: (b1) performing the plurality of signal analysis operations on the plurality of training vibration signals according to the plurality of preset weight values to generate a plurality of training analysis Result; (b2) according to the theoretical frequency value, the plurality of training analysis results and the preset weight value of the signal analysis operation corresponding to the plurality of training analysis results, calculate an operating state training score for the vibration device; (b3 ) judging whether a user agrees with the operating state training score based on the input data of a user, and adjusting the plurality of preset weight values when it is judged that the user does not agree with the operating state training score; and (b4) repeatedly executing steps (b1) to step (b3), until it is determined that the user agrees with the operating state training score, and the plurality of preset weight values are determined as the plurality of weight values. Besides, step (b3) may further include the following steps: If it is determined that the user does not agree with the operating state training score, the highest value among the plurality of preset weight values is decreased and increased, and the values of other preset weight values are randomly increased.

In some embodiments, the operating state assessment method 3 may further include the following steps: (b1) performing the plurality of signal analysis operations on the plurality of training vibration signals according to the plurality of preset weight values to generate a plurality of training vibration signals Analysis results; (b2) Calculating an operating state training score for the vibration device based on the theoretical frequency value, the plurality of training analysis results, and the preset weight values of the signal analysis operations corresponding to the plurality of training analysis results; ( b3) According to a user's input data, determine whether a user agrees with the operating state training score, and adjust the plurality of preset weight values when it is judged that the user does not agree with the operating state training score; and (b4) repeatedly execute Step (b1) to step (b3), until it is determined that the user agrees with the operating state training score, and the plurality of preset weight values are determined as the plurality of weight values. In addition to this, step (b2) may further include the following steps: For each of the plurality of signal analysis operations, judging whether there is an outlier in the corresponding analysis result, and classifying the signal analysis operation as abnormal when it is judged that the outlier exists; and step (b3) The following steps may further be included: If it is judged that the user does not agree with the operating state training score, the preset weight value corresponding to the abnormal signal analysis operation is reduced.

Each embodiment of the operation status assessment method 3 basically corresponds to a certain embodiment of the operation status assessment device 11 . Therefore, only according to the above description for the operation state evaluation device 11, those with ordinary knowledge in the technical field of the present invention can fully understand and realize all corresponding embodiments of the operation state evaluation method 3, even if the above does not focus on the operation Each embodiment of the state assessment method 3 is described in detail.

The embodiments disclosed above are not intended to limit the present invention. Changes or adjustments to the above-disclosed embodiments, as long as those skilled in the art of the present invention can easily conceive, all fall within the scope of the present invention. The scope of the present invention is subject to the content contained in the scope of patent application.

As follows: 11: Operating status evaluation device 111: Storage 112: Processor 113: sensor 12: Vibration equipment 2: Operational status assessment process 201, 202, 203, 204, 205, 206, 207: action 3: Operational status assessment method 301, 302: steps PW1, PW2, PW3: preset weight values S1, S2, S3: target vibration signal TS1, TS2, TS3: training vibration signal TFV: frequency theoretical value W1, W2, W3: weight values

FIG. 1 illustrates an operating state evaluation device for vibration equipment according to one or more embodiments of the present invention. FIG. 2 illustrates an operational status assessment process according to one or more embodiments of the present invention. FIG. 3 illustrates a method for assessing operational status according to one or more embodiments of the present invention.

:none.

3: Operational status assessment method 301, 302: steps

Claims (20)

A device for assessing the operating state of a vibrating device, comprising: a memory for storing a plurality of weight values corresponding to a plurality of signal analysis operations and a theoretical frequency value of the vibrating device; and A processor electrically connected to the storage for: performing the plurality of signal analysis operations on the plurality of target vibration signals generated by the vibration device according to the plurality of weight values to generate a plurality of analysis results; and According to the theoretical frequency value, the plurality of analysis results, and the weight value of the signal analysis operation corresponding to each of the plurality of analysis results, an operating status score for the vibration equipment is calculated. The operating state evaluation device as described in Claim 1, wherein the plurality of signal analysis operations are divided into a frequency analysis operation and an amplitude frequency analysis operation, and the processor is further used for: calculating a theoretical value of the amplitude of the vibrating device according to the theoretical value of the frequency; For each of the plurality of analysis results, if the analysis result is corresponding to the frequency analysis operation, comparing the analysis result with the frequency theoretical value, and if the analysis result is corresponding to the amplitude frequency analysis operation, comparing the analysis result and the amplitude theoretical value, thereby each producing a comparison result; and The operation state score is calculated according to the weight value of the signal analysis operation corresponding to each of the plurality of analysis results and the comparison result. The operation status evaluation device as described in claim 1, wherein: The memory is also used to store a plurality of preset weight values corresponding to the plurality of signal analysis operations; and The processor is also used to determine the plurality of signal analysis operations based on the theoretical frequency value, the plurality of preset weight values, the plurality of training vibration signals generated by the vibration device, and a user input data. Weights. The operating state evaluation device as claimed in claim 3 further includes a sensor electrically connected to the processor for sensing the plurality of target vibration signals and the plurality of training vibration signals. The operating state evaluation device as claimed in claim 3, wherein the processor is further configured to perform the following operations to determine the plurality of weight values: (a1) performing the plurality of signal analysis operations on the plurality of training vibration signals according to the plurality of preset weight values to generate a plurality of training analysis results; (a2) calculating an operating state training score for the vibrating device according to the theoretical frequency value, the plurality of training analysis results, and the preset weight values of signal analysis operations corresponding to the plurality of training analysis results; (a3) Determine whether a user agrees with the operating state training score based on the user input data, and adjust the plurality of preset weight values when it is judged that the user does not agree with the operating state training score; and (a4) Repeat operation (a1) to operation (a3) until it is judged that the user agrees with the operation state training score, and the plurality of preset weight values are determined as the plurality of weight values. The operating state evaluation device as described in claim 5, wherein the plurality of signal analysis operations are divided into a frequency analysis operation and an amplitude frequency analysis operation, and the processor is further used for: calculating a theoretical value of the amplitude of the vibrating device according to the theoretical value of the frequency; For each of the plurality of training analysis results, if the training analysis result corresponds to the frequency analysis operation, comparing the training analysis result with the frequency theoretical value, if the training analysis result is corresponding to the amplitude frequency analysis Comparing the training analysis result with the amplitude theoretical value, and then generating a training comparison result respectively; and The operating state training score is calculated according to the weight value of the signal analysis operation corresponding to each of the plurality of training analysis results and the training comparison result. The operation status evaluation device as described in claim 5, wherein the user input data is an ideal score corresponding to the vibration device, and the processor is also used to train the score and the ideal score according to the operation status to judge whether the user agrees with the performance training score; in: If the error is lower than an error threshold, the processor determines that the user agrees with the performance training score; and If the error is not lower than the error threshold, the processor determines that the user disagrees with the operating state training score. The operating state assessment device as described in claim 5, wherein the user input data is a Boolean value, and the processor is further configured to determine whether the user agrees with the operating state training score according to the Bollinger value. The operation status evaluation device as described in claim 5, wherein the processor is also used for: If it is determined that the user does not agree with the operating state training score, the highest value among the plurality of preset weight values is decreased. The operation status evaluation device as described in claim 5, wherein the processor is also used for: For each of the plurality of signal analysis operations, determine whether there is an outlier in the corresponding analysis result, and classify the signal analysis operation as abnormal when it is determined that the outlier exists; and If it is judged that the user does not agree with the operating state training score, the preset weight value corresponding to the abnormal signal analysis operation is reduced. A method for evaluating the operating state of a vibrating device, the operating state evaluating method is executed by a computing device, and the computing device stores a plurality of weight values corresponding to a plurality of signal analysis operations and a theoretical frequency value of the vibrating device, The operational status assessment methodology consists of the following steps: performing the plurality of signal analysis operations on the plurality of target vibration signals generated by the vibration device according to the plurality of weight values to generate a plurality of analysis results; and According to the theoretical frequency value, the plurality of analysis results, and the weight value of the signal analysis operation corresponding to each of the plurality of analysis results, an operating status score for the vibration equipment is calculated. The operation state evaluation method as described in claim 11, wherein the plurality of signal analysis operations are divided into a frequency analysis operation and an amplitude frequency analysis operation, and the operation state evaluation method further includes the following steps: calculating a theoretical value of the amplitude of the vibrating device according to the theoretical value of the frequency; For each of the plurality of analysis results, if the analysis result is corresponding to the frequency analysis operation, comparing the analysis result with the frequency theoretical value, and if the analysis result is corresponding to the amplitude frequency analysis operation, comparing the analysis result and the amplitude theoretical value, thereby each producing a comparison result; and The operation state score is calculated according to the weight value of the signal analysis operation corresponding to each of the plurality of analysis results and the comparison result. The operation state evaluation method as described in claim 11, wherein the calculation device further stores a plurality of preset weight values corresponding to the plurality of signal analysis operations, and the operation state evaluation method further includes the following steps: The plurality of weight values are determined for the plurality of signal analysis operations according to the frequency theoretical value, the plurality of preset weight values, the plurality of training vibration signals generated by the vibration device and a user input data. The operation state assessment method as claimed in claim 13, wherein the plurality of target vibration signals and the plurality of target vibration signals are sensed by the computing device. The operation status evaluation method as described in claim 13, further comprising the following steps: (b1) performing the plurality of signal analysis operations on the plurality of training vibration signals according to the plurality of preset weight values to generate a plurality of training analysis results; (b2) calculating an operating state training score for the vibrating device according to the theoretical frequency value, the plurality of training analysis results, and the preset weight values of signal analysis operations corresponding to the plurality of training analysis results; (b3) According to the user's input data, determine whether a user agrees with the operating state training score, and adjust the plurality of preset weight values when it is judged that the user does not agree with the operating state training score; and (b4) Repeat steps (b1) to operation (b3) until it is determined that the user agrees with the operating state training score, and the plurality of preset weight values are determined as the plurality of weight values. The operation state evaluation method as described in claim 15, wherein the plurality of signal analysis operations are divided into a frequency analysis operation and an amplitude frequency analysis operation, and the operation state evaluation method further includes the following steps: calculating a theoretical value of the amplitude of the vibrating device according to the theoretical value of the frequency; For each of the plurality of training analysis results, if the training analysis result corresponds to the frequency analysis operation, comparing the training analysis result with the frequency theoretical value, if the training analysis result is corresponding to the amplitude frequency analysis Comparing the training analysis result with the amplitude theoretical value, and then generating a training comparison result respectively; and The operating state training score is calculated according to the weight value of the signal analysis operation corresponding to each of the plurality of training analysis results and the training comparison result. The operation state evaluation method as described in claim 15, wherein the user input data is an ideal score corresponding to the operation state of the vibration device, and the operation state evaluation method further includes the following steps: judging whether the user agrees with the performance training score based on an error between the performance training score and the performance ideal score; Wherein, if the error is lower than an error threshold, it is determined that the user agrees with the operating state training score; if the error is not lower than the error threshold, it is determined that the user does not agree with the operating state training score. The operation state evaluation method as described in claim 15, wherein the user input data is a Boolean value, and the operation state evaluation method further includes the following steps: Whether the user is satisfied with the operating state training score is judged according to the Bollinger value. The operation status evaluation method as described in claim 15, wherein the operation status evaluation method also includes the following steps: If it is determined that the user does not agree with the operating state training score, the highest value among the plurality of preset weight values is decreased and increased, and the values of other preset weight values are randomly increased. The operation status evaluation method as described in claim 15, wherein the operation status evaluation method also includes the following steps: For each of the plurality of signal analysis operations, determine whether there is an outlier in the corresponding analysis result, and classify the signal analysis operation as abnormal when it is determined that the outlier exists; and If it is judged that the user does not agree with the operating state training score, the preset weight value corresponding to the abnormal signal analysis operation is reduced.

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