CN106770652A - High-tension transformer health status monitoring device and monitoring method based on acoustic characteristic - Google Patents
High-tension transformer health status monitoring device and monitoring method based on acoustic characteristic Download PDFInfo
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- CN106770652A CN106770652A CN201611095735.2A CN201611095735A CN106770652A CN 106770652 A CN106770652 A CN 106770652A CN 201611095735 A CN201611095735 A CN 201611095735A CN 106770652 A CN106770652 A CN 106770652A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/04—Analysing solids
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/44—Processing the detected response signal, e.g. electronic circuits specially adapted therefor
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/44—Processing the detected response signal, e.g. electronic circuits specially adapted therefor
- G01N29/4454—Signal recognition, e.g. specific values or portions, signal events, signatures
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Abstract
The invention discloses high-tension transformer health status monitoring device and monitoring method based on acoustic characteristic, high-tension transformer health status monitoring device of the present invention based on acoustic characteristic, the monitoring device includes the contactless Acoustic Signal Acquisition device installed in transformer body periphery, contactless Acoustic Signal Acquisition device is connected with signal analysis device, acoustic characteristic database by acoustic wave filter, and acoustic characteristic database is also connected with signal analysis device.Monitoring method of the present invention is by monitoring the change of transformer acoustic feature, reflect and track the minor variations of transformer health status, protrude monitoring is the time trip point of acoustic characteristic, and point gradual to the acoustic characteristic time is filtered, acoustic characteristic time trip point is said from probability can more reflect the abnormal behaviour of transformer, early warning signal is in time sent, the health index of transformer can be more accurately held.
Description
Technical field
The present invention relates to transformer monitoring field, and in particular to the high-tension transformer health status monitoring based on acoustic characteristic
Device and monitoring method.
Background technology
For 110KV and its transformer station of ratings above, transformer is the most crucial equipment of electric power power transformation link, its fortune
Capable reliability is directly connected to the safety and stablization of power system.The health status of real-time monitoring transformer station high-voltage side bus, is to ensure that
An important link of transformer safety steady operation.
Traditional running state of transformer diagnosis includes dissolved gas analysis method, leakage current monitoring method, shelf depreciation inspection
Survey method, insulation recovery voltage method, these methods are detected by touch sensor, because transformer is constantly in
Under high voltage and this complex environment of strong-electromagnetic field, the electromagnetic environment at scene forms strong interference, shadow to this kind of detection method
The degree of accuracy of detection is rung, and touch sensor is also not easy to install and safeguards in the future.Therefore, seek it is a kind of more accurately and just
Prompt monitoring means, for carrying out transformer online monitoring, hidden failure diagnosis, and formulates appropriate Strategies of Maintenance with weight
The meaning wanted.Being also used in power system carries out the means of electrical equipment diagnosis with ultrasonic signal, and problem is to be coupling in lead
Ultrasonic probe on body to apparatus insulated with certain destructiveness, and ultrasonic wave spread speed with insulating barrier it is aging not
Disconnected change, causes the inaccurate of measurement data, that is to say, that this method has natural technological deficiency.
The content of the invention
The technical problems to be solved by the invention are that running state of transformer is monitored by touch sensor, monitoring
The degree of accuracy it is low, it is therefore intended that provide based on acoustic characteristic high-tension transformer health status monitoring device and monitoring method, solution
Certainly it is based on the inaccurate problem of the measurement data of this kind of method presence of touch sensor monitoring transformer.
The present invention is achieved through the following technical solutions：
High-tension transformer health status monitoring device based on acoustic characteristic, the monitoring device includes being arranged on transformer
The contactless Acoustic Signal Acquisition device of body periphery, contactless Acoustic Signal Acquisition device is connected with letter by acoustic wave filter
Number analytical equipment, acoustic characteristic database, acoustic characteristic database are also connected with signal analysis device；Contactless acoustic signals
Collector is used to gather the acoustic signals sent during transformer station high-voltage side bus；Acoustic wave filter is used to filter what is sent during transformer station high-voltage side bus
Spurious signal outside acoustic signals；Signal analysis device is used to carry out acoustic signals analysis, extracts acoustic characteristic parameter group, structure
Acoustic wave parameter group model is built, the analysis of line transformer health index is entered on this basis, export the health status index；Sound wave is special
Database is levied for storing the original acoustic signals of the transformer and acoustic feature signal parameter group.The contactless sound wave letter
Number collector is set to one or more.
High-tension transformer itself can send the acoustic signals of some strength when running, and the intensity and frequency of the signal and its
The size of load has certain relation, when the present invention gathers transformer station high-voltage side bus in real time using contactless Acoustic Signal Acquisition device
The acoustic signals for sending, and each composition and intensity of composition signal are analyzed by signal analysis device, monitor transformer station high-voltage side bus
When health status, it is unnecessary that the acoustic signals that contactless Acoustic Signal Acquisition device is collected need to be filtered by acoustic wave filter
Acoustic signals, acoustic characteristic database be used for store acoustic characteristic data.This monitoring means is different from gas in traditional oil
Body analysis, leakage current monitoring, Partial Discharge Detection etc., show in Contents for Monitoring and technical finesse gimmick it is all different；
The information that this device is given belongs to vocal print feature class, and transformer monitoring information different from the past can be regarded as to reflection
One new supplement of transformer running parameter set.If together with other category informations, change can be showed in terms of more
Health status when depressor runs, helps to grasp the health index of transformer with transporting inspection personnel's more complete and accurate, formulates appropriate
Fortune inspection repair schedule, it is to avoid excessively go to work braving one's illness, even result in transformer collapse.
The monitoring method of the high-tension transformer health status monitoring device based on acoustic characteristic, comprises the following steps：
S1, signal acquisition and filtering, including following sub-step：
S11, contactless Acoustic Signal Acquisition device gather the acoustic signals sent during transformer station high-voltage side bus in real time；High voltage variable
Depressor itself can send the acoustic signals of some strength when running.
The signal that S12, contactless Acoustic Signal Acquisition device are collected is become by acoustic wave filter, acoustic wave filter filtering
Spurious signal outside the acoustic signals that depressor sends when running；Spurious signal can affect to monitoring result.
S2, feature extraction：Sent when signal analysis device is periodically to the transformer station high-voltage side bus by acoustic wave filter
Acoustic signals are analyzed, and extract frequency, form the feature array of acoustic signals and the feature array is stored in into acoustic characteristic
Database；
S3, modeling, including following sub-step：
S31：The top n array that signal analysis device is stored in from the acoustic characteristic database extraction nearest time, counts each
The number of times that individual frequency occurs, the few frequency of those occurrence numbers is filtered in merger position very adjacent to frequency；The value of N is one
Fixed scope is adjusted, equally spaced 2000~10000 arrays in extraction feature storehouse, and its time span is 1~90 day.
Merger criterion：If f is and fiNeighbouring frequency, then be integrated into f by fiIn, fiIt is often (more many than what f occurred
In) frequency；
Filter criteria：After the completion of all of merger, count with the sample number of this new frequency for being formed, if certain frequency goes out
Existing number of times is less than N/10, then filter the frequency；
Principle analysis：The sound wave that transformer sends can be disturbed by itself drift and environmental noise, take above-mentioned steps
Purpose be to reduce the influence of this disturbing factor.
S32：The average and variance of each frequency sample are calculated, the distribution of each frequency, Suo Youpin are described with Gauss model
The weighted superposition of point distribution, constitutes mixed Gauss model；
S4：Identification, including following sub-step：
S41：Signal analysis device extracts the characteristic of the acoustic signals of current time point collection according to the requirement of step S2
Group；
S42：Signal analysis device calculates the acoustic signals of S41 current time points collection according to the principle of neighbouring frequency merger
Feature array in each array each frequency amplitude Gaussian Profile corresponding with model average and variance absolute value, root
Transformer health and fitness information index is obtained according to the value of absolute value.The feature of the acoustic signals of current time point collection is extracted in step S41
Array is multiple, if continuous L1There is the absolute value of one or more frequencies in individual array more than 3, then observed as a time
Point, is recorded；If there is L in continuous such point of observation2More than secondary, then transformer healthy early warning information can be sent,
Wherein L2>L1>10；The exception of some or several frequency features in view of certain array can not illustrate that transformer is abnormal
, the present invention have selected and use continuous L1There is mismatch as a time point of observation in the feature of individual array, if continuous L2Individual L1Number
When group occurs abnormal, then early warning signal can be sent, remind operation maintenance personnel to note observation.Here, L1、L2Concrete numerical value can
Flexibly set with according to the characteristics of different transformers.
Contactless Acoustic Signal Acquisition device sample frequency is set to 15KHz in step S1, by the sound of acoustic wave filter
Ripple signal bandwidth scope is 10Hz-5KHz.The acoustic signals that transformer sends be when normal within the scope of 20Hz-1000Hz,
Sample frequency is set as that 15KHz is, for the composition of finer performance frequency spectrum, to be possible to send during transformer local anomaly
High frequency sound wave signal.
The acoustic signals that send are used when signal analysis device is to transformer station high-voltage side bus by acoustic wave filter in step S2
Two-dimentional spectral analysis method, forms " spectrum component-signal intensity " spectrogram and the order according to frequency from low to high, and spectrum is extracted successively
The peak component of the preceding M frequency in figure, the M element that formation one is sequentially constituted on frequency, the two dimensional component of amplitude
Array.
After step S4, if transformer is in normal condition, by the sound wave at the nearest time point of current time point collection in S41
The feature array of signal participates in the renewal of Gauss model parameter.If certain array parameter does not constitute point of observation, illustrate at transformer
In normal condition, then the renewal of array participation model parameter, that array of earliest time is taken away, and replaces with the nearest time
The array of point, carries out number of times statistics on this basis；Batch updating pattern can also be taken, with time-consuming；Model parameter
Update and adapt to the small drift change that these parameters occur over time.
Change by monitoring transformer acoustic feature of the invention, reflects and tracks the small change of transformer health status
Change.Protrude monitoring in the present invention is the time trip point of acoustic characteristic, and point gradual to the acoustic characteristic time is filtered, after
It could also be possible that slowly varying caused by load increase, both of these case should be treated with a certain discrimination person.That is significantly and the time
Lasting acoustic characteristic trip point is said from probability can more reflect the abnormal behaviour of transformer, and in time sending early warning signal can be with
The massive losses for avoiding the transformer machine of delaying from bringing.
In practical application, the acoustic feature that we advocate the transformer that will be proposed here is used with other characteristic synthetics, this
Sample can more accurately hold the health index of transformer, and some small changes are found in time, so as to make the feelings that conform to the actual situation
The repair schedule of condition, it is to avoid that offline shutdown in the past inspect periodically bring use electric loss.
The present invention compared with prior art, has the following advantages and advantages：
1st, high-tension transformer health status monitoring device of the present invention based on acoustic characteristic employs contactless device, keeps away
Exempt to use feeler under this complex environment of high voltage and strong-electromagnetic field residing for high-tension transformer to monitoring result
Have a negative impact so that the inaccurate situation of monitoring result；
2nd, the monitoring method of high-tension transformer health status monitoring device of the present invention based on acoustic characteristic first will mixing
Gauss model is used to describe the distribution of high-tension transformer acoustic characteristic, the features such as the method has simple and fast, can be exactly
Catch the minor variations of transformer health status；
3rd, the monitoring method of high-tension transformer health status monitoring device of the present invention based on acoustic characteristic is devised continuously
The combination judgment criterion of time period multiple features array abnormal behaviour, it is therefore an objective to filter various interference privacies and avoid single or a small number of times
The abnormal false-alarm that may be brought with regard to early warning, and when focusing on the long-time of monitoring acoustic characteristic more than threshold value and continuing one section
Between trip point, to increase the probability that this monitoring method is accurately and timely pinpointed the problems；
4th, the monitoring method of high-tension transformer health status monitoring device of the present invention based on acoustic characteristic devises mixing
The parameter of Gauss model updates rule, so that tracking parameter is with time slowly varying situation, keeps model more to press close to various
The change of transformer acoustic states caused by factor.
Brief description of the drawings
Accompanying drawing described herein is used for providing further understanding the embodiment of the present invention, constitutes of the application
Point, do not constitute the restriction to the embodiment of the present invention.In the accompanying drawings：
Fig. 1 is schematic structural view of the invention.
Specific embodiment
To make the object, technical solutions and advantages of the present invention become more apparent, with reference to embodiment and accompanying drawing, to this
Invention is described in further detail, and exemplary embodiment of the invention and its explanation are only used for explaining the present invention, do not make
It is limitation of the invention.
Embodiment 1
As shown in figure 1, high-tension transformer health status monitoring device of the present invention based on acoustic characteristic, the monitoring device
Including the contactless Acoustic Signal Acquisition device installed in transformer body periphery, contactless Acoustic Signal Acquisition device passes through sound
Ripple filter is connected with signal analysis device, acoustic characteristic database, and acoustic characteristic database is also connected with signal analysis device；
Contactless Acoustic Signal Acquisition device is used to gather the acoustic signals sent during transformer station high-voltage side bus；Acoustic wave filter is used to filter and becomes
Spurious signal outside the acoustic signals that depressor sends when running；Signal analysis device is used to carry out acoustic signals analysis, extracts
Acoustic characteristic parameter group, builds acoustic wave parameter group model, and the analysis of line transformer health index is entered on this basis, exports described strong
Health state indices；Acoustic characteristic database is used to store the original acoustic signals of the transformer and acoustic feature signal parameter group.
The contactless Acoustic Signal Acquisition device is set to one or more.
The present invention gathers the acoustic signals sent during transformer station high-voltage side bus in real time using contactless Acoustic Signal Acquisition device,
And each composition and intensity for constituting signal are analyzed by signal analysis device, health status during monitoring transformer station high-voltage side bus is non-
The acoustic signals that contact Acoustic Signal Acquisition device is collected need to filter unnecessary acoustic signals, sound wave by acoustic wave filter
Property data base is used to store acoustic characteristic data.This monitoring means is different from traditional dissolved gas analysis, leakage current
Monitoring, Partial Discharge Detection etc., show in Contents for Monitoring and technical finesse gimmick it is all different；The letter that this device is given
Breath belongs to vocal print feature class, and transformer monitoring information different from the past can be regarded as to reflection transformer running parameter collection
The new supplement closed.
Embodiment 2
Based on embodiment 1, in actual applications, all elements in monitoring device are arranged in a closed housing
In, transformer is connected with contactless Acoustic Signal Acquisition device by external cable, and monitoring device is arranged on the periphery of transformer.
In the present embodiment, device itself constitutes a complete monitoring means, and the output signal in monitoring device can access transformer station
Some communication networks, are transferred to transformer station's auxiliary monitoring system unified platform, and the pipe of higher level is uploaded to by the platform
Control platform, herein, together with the information that can be obtained with other monitoring means, for fortune, inspection personnel carry out aid decision.
Embodiment 3
Based on embodiment 1, as different from Example 2, contactless Acoustic Signal Acquisition is only placed in the periphery of transformer
Device, it is not necessary to install monitoring device, the function that other components in the monitoring device have is embodied on backstage, prison
Other components of device are surveyed all to complete the process part of signal by background computer.Contactless Acoustic Signal Acquisition device,
Signal is sent to by backstage by cable, remaining signal processing is completed by background computer.In front end (transformer terminal)
It is arrangement Acoustic Signal Acquisition device, obtains the acoustic signals of transformer.Equally, the signal accesses the existing communication network of transformer station,
Transformer station's auxiliary monitoring system unified platform is transferred to, acoustic characteristic is completed on this platform and is extracted, stores, models, is known
Do not updated with model parameter.Once noting abnormalities, then court verdict is uploaded to the control platform of higher level by the platform,
And together with the information that can be obtained with other monitoring means, for fortune, inspection personnel carry out aid decision.
Embodiment 4
Based on above-described embodiment, the monitoring method of the high-tension transformer health status monitoring device based on acoustic characteristic, bag
Include following steps：
S1, signal acquisition and filtering, including following sub-step：
S11, contactless Acoustic Signal Acquisition device gather the acoustic signals sent during transformer station high-voltage side bus in real time；
The signal that S12, contactless Acoustic Signal Acquisition device are collected is become by acoustic wave filter, acoustic wave filter filtering
Spurious signal outside the acoustic signals that depressor sends when running；Contactless Acoustic Signal Acquisition device sample frequency in step S1
15KHz is set to, the acoustic signals bandwidth range by acoustic wave filter is 10Hz-5KHz；
S2, feature extraction：Sent when signal analysis device is periodically to the transformer station high-voltage side bus by acoustic wave filter
Acoustic signals are analyzed, and extract frequency, form the feature array of acoustic signals and the feature array is stored in into acoustic characteristic
Database；The acoustic signals that send use two when signal analysis device is to transformer station high-voltage side bus by acoustic wave filter in step S2
Dimension spectral analysis method, forms " spectrum component-signal intensity " spectrogram and the order according to frequency from low to high, and spectrogram is extracted successively
In preceding M frequency peak component, formed one sequentially on frequency, the two dimensional component of amplitude constitute M element number
Group；
S3, modeling, including following sub-step：
S31：The top n array that signal analysis device is stored in from the acoustic characteristic database extraction nearest time, counts each
The number of times that individual frequency occurs, the few frequency of those occurrence numbers is filtered in merger position very adjacent to frequency；N in step S3
Value is adjusted in certain scope, equally spaced 2000~10000 arrays in extraction feature storehouse, and its time span is 1~
90 days；
S32：The average and variance of each frequency sample are calculated, the distribution of each frequency, Suo Youpin are described with Gauss model
The weighted superposition of point distribution, constitutes mixed Gauss model；
S4：Identification, including following sub-step：
S41：Signal analysis device extracts the characteristic of the acoustic signals of current time point collection according to the requirement of step S2
Group；The feature array that the acoustic signals of current time point collection are extracted in step S41 is multiple；
S42：Signal analysis device calculates the acoustic signals of S41 current time points collection according to the principle of neighbouring frequency merger
Feature array in each array each frequency amplitude Gaussian Profile corresponding with model average and variance absolute value, root
Transformer health and fitness information index is obtained according to the value of absolute value.
After step S4, if transformer is in normal condition, by the sound wave at the nearest time point of current time point collection in S41
The feature array of signal participates in the renewal of Gauss model parameter.
Above-described specific embodiment, has been carried out further to the purpose of the present invention, technical scheme and beneficial effect
Describe in detail, should be understood that and the foregoing is only specific embodiment of the invention, be not intended to limit the present invention
Protection domain, all any modification, equivalent substitution and improvements within the spirit and principles in the present invention, done etc. all should include
Within protection scope of the present invention.
Claims (8)
1. the high-tension transformer health status monitoring device of acoustic characteristic is based on, it is characterised in that the monitoring device includes peace
Mounted in the contactless Acoustic Signal Acquisition device of transformer body periphery, contactless Acoustic Signal Acquisition device passes through acoustic wave filter
Device is connected with signal analysis device, acoustic characteristic database, and acoustic characteristic database is also connected with signal analysis device；
Contactless Acoustic Signal Acquisition device is used to gather the acoustic signals sent during transformer station high-voltage side bus；
Acoustic wave filter is used to filter the spurious signal outside the acoustic signals sent during transformer station high-voltage side bus；
Signal analysis device is used to carry out acoustic signals analysis, extracts acoustic characteristic parameter group, builds acoustic wave parameter group model,
Enter the analysis of line transformer health index on the basis of this, export the health status index；
Acoustic characteristic database is used to store the original acoustic signals of the transformer and acoustic feature signal parameter group.
2. the high-tension transformer health status monitoring device based on acoustic characteristic according to claim 1, it is characterised in that
The contactless Acoustic Signal Acquisition device is set to one or more.
3. the monitoring method of the high-tension transformer health status monitoring device based on acoustic characteristic described in claim 1 or 2, its
It is characterised by, comprises the following steps：
S1, signal acquisition and filtering, including following sub-step：
S11, contactless Acoustic Signal Acquisition device gather the acoustic signals sent during transformer station high-voltage side bus in real time；
The signal that S12, contactless Acoustic Signal Acquisition device are collected is by acoustic wave filter, acoustic wave filter filtering transformer
Spurious signal outside the acoustic signals sent during operation；
S2, feature extraction：The sound wave sent when signal analysis device is periodically to the transformer station high-voltage side bus by acoustic wave filter
Signal is analyzed, and extracts frequency, forms the feature array of acoustic signals and the feature array is stored in into acoustic characteristic data
Storehouse；
S3, modeling, including following sub-step：
S31：The top n array that signal analysis device is stored in from the acoustic characteristic database extraction nearest time, counts at each frequently
The number of times that point occurs, the few frequency of those occurrence numbers is filtered in merger position very adjacent to frequency；
S32：The average and variance of each frequency sample are calculated, the distribution of each frequency, all frequencies point are described with Gauss model
The weighted superposition of cloth, constitutes mixed Gauss model；
S4：Identification, including following sub-step：
S41：Signal analysis device extracts the feature array of the acoustic signals of current time point collection according to the requirement of step S2；
S42：Signal analysis device calculates the spy of the acoustic signals of S41 current time points collection according to the principle of neighbouring frequency merger
Levy the average of each frequency amplitude Gaussian Profile corresponding with model of each array described in array and the absolute value of variance, root
Transformer health and fitness information index is obtained according to the value of absolute value.
4. the monitoring method of the high-tension transformer health status monitoring device based on acoustic characteristic according to claim 3,
Contactless Acoustic Signal Acquisition device sample frequency is set to 15KHz in step S1, by the acoustic signals band of acoustic wave filter
Wide scope is 10Hz-5KHz.
5. the monitoring side of the high-tension transformer health status monitoring device based on acoustic characteristic according to claim 3 or 4
Method, the acoustic signals that send use two-dimensional spectrum when signal analysis device is to transformer station high-voltage side bus by acoustic wave filter in step S2
Analysis method, forms " spectrum component-signal intensity " spectrogram and the order according to frequency from low to high, successively in extraction spectrogram
The peak component of preceding M frequency, forms an array for the M element for sequentially being constituted on frequency, the two dimensional component of amplitude.
6. the monitoring side of the high-tension transformer health status monitoring device based on acoustic characteristic according to claim 3 or 4
Method, the value of N is adjusted in certain scope in step S3, equally spaced 2000~10000 arrays in extraction feature storehouse, its
Time span is 1~90 day.
7. the monitoring side of the high-tension transformer health status monitoring device based on acoustic characteristic according to claim 3 or 4
Method, the feature array that the acoustic signals of current time point collection are extracted in step S41 is multiple.
8. the monitoring method of the high-tension transformer health status monitoring device based on acoustic characteristic according to claim 3,
After step S4, if transformer is in normal condition, by the spy of the acoustic signals at the nearest time point of current time point collection in S41
Levy the renewal that array participates in Gauss model parameter.
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| CN108362966A (en) * | 2018-02-12 | 2018-08-03 | 广东电网有限责任公司电力科学研究院 | A kind of oil-immersed type transformer high-precision noise on-line monitoring method and system |
| CN109060332A (en) * | 2018-08-13 | 2018-12-21 | 重庆工商大学 | It is a kind of to merge the Mechanical device diagnosis method for carrying out acoustic signals analysis based on collaborative filtering |
| CN109187756A (en) * | 2018-10-17 | 2019-01-11 | 广西电网有限责任公司电力科学研究院 | A kind of winding loosening judgment method based on transformer noise ultrasonogram |
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| CN109557412A (en) * | 2018-11-27 | 2019-04-02 | 华翔翔能电气股份有限公司 | A kind of method for recognizing sound-groove and system of transformer fault |
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| CN107317858A (en) * | 2017-06-24 | 2017-11-03 | 梧州市兴能农业科技有限公司 | A kind of health and fitness information data monitoring system |
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| CN109060332A (en) * | 2018-08-13 | 2018-12-21 | 重庆工商大学 | It is a kind of to merge the Mechanical device diagnosis method for carrying out acoustic signals analysis based on collaborative filtering |
| CN109187756A (en) * | 2018-10-17 | 2019-01-11 | 广西电网有限责任公司电力科学研究院 | A kind of winding loosening judgment method based on transformer noise ultrasonogram |
| CN109557412A (en) * | 2018-11-27 | 2019-04-02 | 华翔翔能电气股份有限公司 | A kind of method for recognizing sound-groove and system of transformer fault |
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| CN111289188B (en) * | 2018-12-10 | 2022-04-19 | 广州敏达包装设备有限公司 | Non-contact vacuum detection method |
| CN117470976A (en) * | 2023-12-28 | 2024-01-30 | 烟台宇控软件有限公司 | Transmission line defect detection method and system based on voiceprint features |
| CN117470976B (en) * | 2023-12-28 | 2024-03-26 | 烟台宇控软件有限公司 | Transmission line defect detection method and system based on voiceprint features |
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