WO2020192281A1

WO2020192281A1 - Elevator brake fault monitoring method, device and system

Info

Publication number: WO2020192281A1
Application number: PCT/CN2020/074611
Authority: WO
Inventors: 赵阳; 李红星
Original assignee: 西人马(西安)测控科技有限公司
Priority date: 2019-03-22
Filing date: 2020-02-10
Publication date: 2020-10-01
Also published as: CN109941860B; CN109941860A

Abstract

Disclosed are an elevator brake fault monitoring method, device and system. The method comprises: receiving an acoustic emission signal, which is sent by a brake device when an elevator is braked; converting the acoustic emission signal into a voltage signal, and performing filtering on the voltage signal to extract a signal characteristic value, wherein the signal characteristic value comprises a time domain signal characteristic value and a frequency domain signal characteristic value; determining whether a fault occurs to the brake device according to a reference range of the time domain signal and a reference range of the frequency domain signal, wherein if the time domain signal characteristic value does not fall within the reference range of the time domain signal, it is determined that a fault occurs to the brake device; if the frequency domain signal characteristic value does not fall within the reference range of the frequency domain signal, it is determined that a fault occurs to the brake device. According to the solution, a brake device is monitored by means of signal characteristic values of acoustic emission signals, and the reliability of safety monitoring for elevators is improved.

Description

Method, device and system for monitoring elevator brake failure

Cross references to related applications

This application claims the priority of the Chinese patent application 201910221812.1 entitled "Method, Device and System for Elevator Brake Failure Monitoring" filed on March 22, 2019, the entire content of which is incorporated herein by reference.

Technical field

This application relates to the technical field of elevators, and in particular to a method, device and system for monitoring elevator brake faults.

Background technique

At present, as people's safety requirements for riding in elevators increase, traditional elevator safety monitoring solutions are increasingly unable to meet actual use requirements. Among them, the brake device is an important safety guarantee for the elevator. If there is a problem with the brake device, there is a greater safety hazard.

In elevator equipment, a brake device (such as a brake shoe or a brake shoe) is the moving part of the brake, and the surface is a friction surface. When the brake drum pushes the brake device, it will brake the elevator. In some cases, the brake device will brake the elevator when the motor is powered off. As the service life of the elevator increases, the brake shoes will inevitably undergo certain wear or cracks. When the surface is damaged or cracked, the brake will be abnormal, which is manifested by insufficient brake energy, and the lighter will cause If the car slides, it can cause the car to fall.

Summary of the invention

The embodiments of the present application provide a fault monitoring method, device, equipment, and medium, which can monitor the brake device through the signal characteristic value of the acoustic emission signal, and improve the safety monitoring reliability of the elevator.

In the first aspect, an embodiment of the present application provides an elevator brake fault monitoring method, the method including:

Receive acoustic emission signals, which are emitted by the brake device when the elevator is braking;

Converting the acoustic emission signal into a voltage signal, and filtering the voltage signal to extract a signal characteristic value; wherein the signal characteristic value includes a time domain signal characteristic value and a frequency domain signal characteristic value;

According to the reference range of the time domain signal and the reference range of the frequency domain signal, determine whether the brake device is malfunctioning; wherein,

If the characteristic value of the time domain signal is not within the reference range of the time domain signal, determining that the brake device is faulty;

If the frequency domain signal characteristic value is not within the frequency domain signal reference range, it is determined that the brake device is faulty.

According to the elevator brake fault monitoring method according to the embodiment of the present application, the extracting signal characteristic value includes:

The characteristic analysis method is used to perform correlation analysis on the time domain variables of the acoustic emission signal to determine the characteristic value of the time domain signal of the acoustic emission signal; the time domain variables include: amplitude, energy, ring count, event, rise Time, duration and threshold voltage.

According to the elevator brake fault monitoring method of the embodiment of the present application, the extracting signal characteristics includes: using a spectrum analysis method to analyze the frequency spectrum variables of the acoustic emission signal to determine the frequency domain signal characteristics of the acoustic emission signal ; The frequency spectrum variables include: amplitude, duration, energy, arrival time, root mean square voltage value, number of impacts, number of impacts rate and external parameters.

According to the elevator brake fault monitoring method according to the embodiment of the present application, the method further includes:

Before receiving the acoustic emission signal, determine the time domain signal reference range and the frequency domain signal reference range.

According to the elevator brake fault monitoring method according to the embodiment of the present application, the method further includes that determining the time domain signal reference range and the frequency domain signal reference range includes:

Collecting multiple acoustic emission signals, converting the multiple acoustic emission signals into multiple voltage signals, and filtering the multiple voltage signals;

The characteristic analysis method is used to perform correlation analysis on the time domain variables of the filtered multiple acoustic emission signals to determine the time domain signal characteristics of the multiple filtered acoustic emission signals; the time domain variables include: amplitude, energy, Ringing count, event, rise time, duration and threshold voltage;

Determining the time-domain signal reference range according to the time-domain signal characteristics of the multiple acoustic emission signals; and,

The frequency spectrum analysis method is used to perform correlation analysis on the frequency spectrum variables of the filtered multiple acoustic emission signals to determine the frequency domain signal characteristics of the multiple filtered acoustic emission signals; the frequency spectrum variables include: amplitude, duration, energy , Arrival time, root mean square voltage value, number of hits, rate of hits, external parameters;

Determine the frequency domain signal reference range according to the frequency domain signal characteristics of the multiple acoustic emission signals.

In the second aspect, an embodiment of the present application also provides an elevator fault monitoring device, the device including:

Acoustic emission sensor for receiving acoustic emission signals, which are emitted by the brake device when the elevator is braking;

The control unit is configured to convert the acoustic emission signal into a voltage signal, and filter the voltage signal to extract a signal characteristic value; wherein the signal characteristic value includes a time domain signal characteristic value and a frequency domain signal characteristic value;

The control unit is also used for judging whether the brake device is faulty according to the signal characteristic threshold; wherein,

If the characteristic value of the time domain signal is not within the reference range of the time domain signal, the control unit determines that the brake device is faulty;

If the frequency domain signal characteristic value is not within the frequency domain signal reference range, the control unit determines that the brake device is faulty.

According to the elevator brake fault monitoring device according to the embodiment of the present application, the control unit includes a first analysis subunit, and the first analysis subunit is used for adopting a characteristic analysis method to analyze the time domain variables of the acoustic emission signal. Perform correlation analysis to determine the time domain signal characteristic value of the acoustic emission signal; the time domain variables include: amplitude, energy, ringing count, event, rise time, duration, and threshold voltage.

According to the elevator brake fault monitoring device according to the embodiment of the present application, the control unit includes a second analysis sub-unit, and the second analysis sub-unit is used to perform a spectrum analysis method on the spectrum variables of the acoustic emission signal. Analyze and determine the frequency domain signal characteristic value of the acoustic emission signal; the frequency spectrum variables include: amplitude, duration, energy, arrival time, root mean square voltage value, number of impacts, number rate of impacts and external parameters.

According to the elevator brake fault monitoring device according to the embodiment of the present application, the device further includes an alarm unit configured to trigger an alarm after the control unit determines that the brake device is faulty.

In a third aspect, the present application also provides an elevator fault monitoring system, which includes: a brake device and the elevator fault monitoring device described above.

Using the elevator brake fault monitoring method, device and system of the embodiments of the present application, after receiving the acoustic emission signal emitted by the brake device during braking, the acoustic emission signal is converted into a voltage signal, and the voltage signal is processed Filtering, and then further extract the signal characteristic value from the filtered voltage signal, where the extracted signal characteristic value includes the time domain signal characteristic value and the frequency domain signal characteristic value; judge according to the time domain signal reference range and the frequency domain signal reference range Whether the brake device is faulty, wherein if the characteristic value of the time domain signal is not within the reference range of the time domain signal, it is determined that the brake device is faulty; if the characteristic value of the frequency domain signal is not within the reference range of the frequency domain signal, the brake device is determined malfunction. The above solution can monitor the brake device through the signal characteristic value of the acoustic emission signal, and improve the reliability of the safety monitoring of the elevator.

Description of the drawings

In order to explain the technical solutions of the embodiments of the present application more clearly, the following will briefly introduce the drawings that need to be used in the embodiments of the present application. For those of ordinary skill in the art, without creative work, Other drawings can be obtained from these drawings.

Figure 1 is a schematic structural diagram of an elevator brake fault monitoring system according to an embodiment of the application;

Figure 2 is a flowchart of a method for monitoring elevator brake faults according to an embodiment of the application;

Figure 3 is a schematic structural diagram of an elevator brake fault monitoring device according to an embodiment of the application.

detailed description

The features and exemplary embodiments of each aspect of the application will be described in detail below. In order to make the objectives, technical solutions, and advantages of the application clearer, the following further describes the application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only configured to explain the present application, and not configured to limit the present application. For those skilled in the art, this application can be implemented without some of these specific details. The following description of the embodiments is only to provide a better understanding of the present application by showing examples of the present application.

It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply one of these entities or operations. There is any such actual relationship or order between. Moreover, the terms "include", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device that includes a series of elements includes not only those elements, but also includes Other elements of, or also include elements inherent to this process, method, article or equipment. If there are no more restrictions, the element defined by the sentence "including..." does not exclude the existence of other same elements in the process, method, article, or equipment that includes the element.

Referring to FIG. 1, an embodiment of the present application provides an elevator fault monitoring system 100. The system includes a brake device 101 and an elevator fault monitoring device 300.

In the embodiment of the present application, when the elevator is braking, the brake device 101 will emit an elastic wave and finally be transmitted to the surface of the material, causing an acoustic emission signal that can be detected by the acoustic emission sensor.

When the brake device 101 fails, such as the brake device 101 is damaged or cracked or damaged, the elastic wave transmitted in the brake device 101 will change due to the elastic impact of the above-mentioned fault, and the acoustic emission signal generated will also be changed. Changes will occur. The acoustic emission signal contains a wealth of collision and friction information. Unlike the vibration method, the frequency range of the acoustic emission signal is generally above 20 kHz, while the frequency of the vibration signal is generally lower. Therefore, the acoustic emission signal will not be disturbed by mechanical vibration and noise;

The elevator fault monitoring device 300 receives the acoustic emission signal transmitted through the brake device 101, converts the acoustic emission signal into a voltage signal, filters the voltage signal, and extracts the characteristics of the signal.

Referring to Fig. 2, an embodiment of the present application provides a method 200 for monitoring an elevator brake fault. The method includes the following steps: S201, S202, and S203.

S201: Receive acoustic emission signals, which are emitted by the brake device when the elevator is braking.

In the embodiments of this application, when the holding device has cracks, wear, indentation, notch, occlusion, and poor lubrication, the surface roughness and other phenomena will cause the elastic impact of the contact surface to pass the elastic wave. The form is released, and the bouncing standing wave will cause a burst of acoustic emission signal, which contains information about the collision and friction between the brake device and the elevator. For example, the location of the damage on the brake device and the different stress state caused the damage degree of the brake device to be different, and the characteristics of the acoustic emission signal obtained were also different.

Since the frequency range of the acoustic emission signal is generally above 20kHz, and the frequency of the vibration signal is low, the acoustic emission signal will not be disturbed by the vibration signal generated by mechanical vibration.

S202: Convert the acoustic emission signal into a voltage signal, and filter the voltage signal to extract a signal characteristic value; where the signal characteristic value includes a time domain signal characteristic value and a frequency domain signal characteristic value.

In the embodiment of the present application, when receiving the acoustic emission signal, a sensor can be used to receive, for example, a transducer, an acoustic emission sensor, and the sensor can be used to convert the acoustic emission signal into a voltage signal. Here, the received acoustic emission The signal is a waveform in which different frequency harmonics are superimposed after multiple reflections, waveform attenuation and waveform transformation.

After the acoustic emission signal is converted into a voltage signal, the voltage signal is filtered, for example, high-pass filtering is used to eliminate noise. After the acoustic emission signal is filtered, the characteristic value of the voltage signal is extracted, and the extracted signal characteristic includes the characteristic value of the time domain signal and the characteristic value of the frequency domain signal.

In the embodiment of the present application, the specific method for extracting the signal characteristic value includes: adopting the characteristic analysis method to perform correlation analysis on the time domain variable of the acoustic emission signal to determine the time domain signal characteristic value of the acoustic emission signal; the time domain variables include: Amplitude, energy, ring count, event, rise time, duration and threshold voltage.

In the embodiment of the present application, when analyzing the signal, the characteristic value of the signal in the time domain can be analyzed using a characteristic analysis method to analyze the characteristic parameters of the voltage signal, such as amplitude, energy, ring count, event , Rise time, duration, and threshold voltage. Among them, the characteristic analysis can be a correlation graph analysis, that is, two parameters are arbitrarily selected from the above characteristic parameters for correlation analysis to obtain the time-domain characteristics and internal laws of the acoustic emission signal, and then determine the sound The time-domain signal characteristic value of the transmitted signal.

In the embodiment of the present application, extracting signal characteristic values includes: using a spectrum analysis method to analyze the spectrum variables of the acoustic emission signal to determine the frequency domain signal characteristics of the acoustic emission signal; the spectrum variables include: amplitude, duration, energy, Arrival time, root mean square voltage value, number of hits, rate of hits and external parameters.

In the embodiments of the present application, the frequency domain characteristics of the acoustic emission signal, energy spectrum, spectrum estimation, wavelet transform, and Hilbert transform can be used to obtain the frequency domain characteristics of the acoustic emission signal, and determine the frequency domain characteristics of the acoustic emission signal value.

S203: Determine whether the brake device is faulty according to the reference range of the time domain signal and the reference range of the frequency domain signal; among them,

If the characteristic value of the time domain signal is not within the reference range of the time domain signal, it is determined that the brake device is faulty;

If the characteristic value of the frequency domain signal is not within the reference range of the frequency domain signal, it is determined that the brake device is faulty.

In the embodiment of the present application, when the acoustic emission signal is transmitted to the sensor in the brake device that has a fault, it has certain characteristics, that is, when the brake device is in a normal state, the characteristics of the acoustic emission signal are based on the brake device. In the normal state of the device, the characteristics of the acoustic emission signal can obtain the reference range of the time domain signal and the reference range of the frequency domain signal. After determining the characteristic value of the time domain signal and the characteristic value of the frequency domain signal, the characteristic value of the time domain signal and the time domain signal The reference range is compared. If the characteristic value of the time domain signal is not within the reference range of the time domain signal, it is determined that the brake device is faulty; the characteristic value of the commented signal is compared with the reference range of the frequency domain signal. Within the reference range of the domain signal, it is determined that the brake device is faulty.

In the embodiment of the present application, the specific method for determining the time domain signal reference range and the frequency domain signal reference range includes:

Collect multiple acoustic emission signals, convert multiple acoustic emission signals into multiple voltage signals, and filter multiple voltage signals;

The characteristic analysis method is used to correlate the time domain variables of the filtered multiple acoustic emission signals to determine the time domain signal characteristics of the filtered multiple acoustic emission signals; the time domain variables include: amplitude, energy, ring count, Event, rise time, duration and threshold voltage;

Determine the time-domain signal reference range according to the time-domain signal characteristics of multiple acoustic emission signals; and,

The spectrum analysis method is used to correlate the spectrum variables of the filtered multiple acoustic emission signals to determine the frequency domain signal characteristics of the filtered multiple acoustic emission signals; the spectrum variables include: amplitude, duration, energy, arrival time, Root mean square voltage value, number of hits, rate of hits, external parameters;

According to the frequency domain signal characteristics of multiple acoustic emission signals, the frequency domain signal reference range is determined.

In the embodiment of the present application, the acoustic emission signals of multiple normal brake devices are measured, and by recording the characteristics of the acoustic emission signals in the normal state, the characteristics are analyzed and set as the threshold. The collected multiple acoustic emission signals are converted into voltage signals and then filtered to eliminate noise. The characteristic analysis method is used to analyze the characteristic parameters of the voltage signal, such as amplitude, energy, ringing count, event, rise time, duration, and threshold voltage. Among them, the characteristic analysis can be correlation graph analysis, that is, in the above characteristic parameters Select two parameters arbitrarily to perform correlation analysis to obtain the time-domain characteristics and internal laws of the acoustic emission signal, and determine the time-domain signal reference range according to the time-domain characteristics and internal laws, that is, the time-domain signal characteristics of multiple acoustic emission signals .

Using the frequency domain characteristics, energy spectrum, spectrum estimation, wavelet transform and Hilbert transform of multiple acoustic emission signals, the frequency domain characteristics of multiple acoustic emission signals can be obtained, and the frequency domain signal reference range of acoustic emission signals can be determined.

In the embodiment of the present application, after the elevator brake failure is determined, the alarm mechanism is triggered, for example, alarm information is generated and sent to the monitoring cloud platform. The alarm information may be a number, such as "1", that is, when the monitoring cloud platform The received signal is 1, which proves that the elevator brake is faulty and an alarm is issued. When an alarm is issued, it can be alarmed by a buzzer or a reminder lamp.

The elevator brake fault monitoring method provided by the embodiment of the application, after receiving the acoustic emission signal emitted by the brake device when braking, converts the acoustic emission signal into a voltage signal, and filters the voltage signal, and then further The signal characteristic value is extracted from the filtered voltage signal, where the extracted signal characteristic value includes the time domain signal characteristic value and the frequency domain signal characteristic value; according to the time domain signal reference range and the frequency domain signal reference range, it is judged whether the brake device is If the characteristic value of the time domain signal is not within the reference range of the time domain signal, the brake device is determined to be faulty; if the characteristic value of the frequency domain signal is not within the reference range of the frequency domain signal, it is determined that the brake device is faulty. The above solution can monitor the brake device through the signal characteristic value of the acoustic emission signal, and improve the reliability of the safety monitoring of the elevator.

Referring to FIG. 3, an embodiment of the present application also provides an elevator brake fault monitoring device 300, where the device 300 includes an acoustic emission sensor 301 and a control unit 302.

Acoustic emission sensor 301, used to receive the acoustic emission signal generated by the brake device during elevator braking;

The control unit 302 is configured to convert an acoustic emission signal into a voltage signal, and filter the voltage signal to extract a signal characteristic value; wherein the signal characteristic value includes a time domain signal characteristic value and a frequency domain signal characteristic value;

The control unit 302 is also used for judging whether the brake device is faulty according to the signal characteristic threshold; where,

If the characteristic value of the frequency domain signal is not within the reference range of the frequency domain signal, the control unit determines that the brake device is faulty.

In some embodiments, the control unit 302 includes a first analysis subunit 3021, and the first analysis subunit 3021 is used to use a feature analysis method to perform correlation analysis on the time domain variables of the acoustic emission signal to determine the time domain signal of the acoustic emission signal Characteristic value; time domain variables include: amplitude, energy, ring count, event, rise time, duration, and threshold voltage.

In some embodiments, the control unit 302 includes a second analysis subunit 3022, and the second analysis subunit 3022 is used to analyze the spectrum variables of the acoustic emission signal by using a spectrum analysis method to determine the frequency domain signal characteristic value of the acoustic emission signal ; Spectral variables include: amplitude, duration, energy, arrival time, root mean square voltage value, number of impacts, number of impacts rate and external parameters.

In some embodiments, the device further includes an alarm unit 303, which is used to trigger an alarm after the control unit 302 determines that the brake device is faulty.

In some embodiments, the control unit 302 is further configured to determine the time domain signal reference range and the frequency domain signal reference range before receiving the acoustic emission signal.

In some embodiments, the control unit 302 is further configured to determine a time domain signal reference range and a frequency domain signal reference range, including:

It should be clear that the present application is not limited to the specific configuration and processing described above and shown in the figure. For brevity, a detailed description of the known method is omitted here. In the above embodiment, several specific steps are described and shown as examples. However, the method process of the present application is not limited to the specific steps described and shown. After understanding the spirit of the present application, those skilled in the art can make various changes, modifications and additions, or change the order between the steps.

The functional blocks shown in the above structural block diagram can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it can be, for example, an electronic circuit, an application specific integrated circuit (ASIC), appropriate firmware, a plug-in, a function card, and so on. When implemented in software, the elements of this application are programs or code segments used to perform required tasks. The program or code segment may be stored in a machine-readable medium, or transmitted on a transmission medium or communication link through a data signal carried in a carrier wave. "Machine-readable medium" may include any medium that can store or transmit information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio frequency (RF) links, and so on. The code segment can be downloaded via a computer network such as the Internet, an intranet, etc.

It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above steps, that is, the steps may be executed in the order mentioned in the embodiment, or may be different from the order in the embodiment, or several steps may be executed simultaneously.

The above are only specific implementations of the present application, and those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working process of the above-described system, module and unit can be referred to in the foregoing method embodiment The corresponding process will not be repeated here. It should be understood that the scope of protection of this application is not limited to this, and any person skilled in the art can easily think of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should cover Within the protection scope of this application.

Claims

An elevator brake fault monitoring method, the method includes:

Receive acoustic emission signals, which are emitted by the brake device when the elevator is braking;

Converting the acoustic emission signal into a voltage signal, and filtering the voltage signal to extract a signal characteristic value; wherein the signal characteristic value includes a time domain signal characteristic value and a frequency domain signal characteristic value;

According to the reference range of the time domain signal and the reference range of the frequency domain signal, determine whether the brake device is malfunctioning; wherein,

If the characteristic value of the time domain signal is not within the reference range of the time domain signal, determining that the brake device is faulty;

If the frequency domain signal characteristic value is not within the frequency domain signal reference range, it is determined that the brake device is faulty.
The method according to claim 1, wherein said extracting signal characteristic values comprises:

The characteristic analysis method is used to perform correlation analysis on the time domain variables of the acoustic emission signal to determine the characteristic value of the time domain signal of the acoustic emission signal; the time domain variables include: amplitude, energy, ring count, event, rise Time, duration and threshold voltage.
The method according to claim 1, wherein said extracting signal features comprises:

The spectrum analysis method is used to analyze the spectrum variables of the acoustic emission signal to determine the frequency domain signal characteristics of the acoustic emission signal; the spectrum variables include: amplitude, duration, energy, arrival time, root mean square voltage value , Impact number, impact number rate and external parameters.
The method according to claim 1, further comprising, before receiving the acoustic emission signal, determining the time domain signal reference range and frequency domain signal reference range.
The method according to claim 4, the determining the time domain signal reference range and the frequency domain signal reference range comprises:

Collecting multiple acoustic emission signals, converting the multiple acoustic emission signals into multiple voltage signals, and filtering the multiple voltage signals;

The characteristic analysis method is used to perform correlation analysis on the time domain variables of the filtered multiple acoustic emission signals to determine the time domain signal characteristics of the multiple filtered acoustic emission signals; the time domain variables include: amplitude, energy, Ringing count, event, rise time, duration and threshold voltage;

Determining the time-domain signal reference range according to the time-domain signal characteristics of the multiple acoustic emission signals; and,

The frequency spectrum analysis method is used to perform correlation analysis on the frequency spectrum variables of the filtered multiple acoustic emission signals to determine the frequency domain signal characteristics of the multiple filtered acoustic emission signals; the frequency spectrum variables include: amplitude, duration, energy , Arrival time, root mean square voltage value, number of hits, rate of hits, external parameters;

Determine the frequency domain signal reference range according to the frequency domain signal characteristics of the multiple acoustic emission signals.
An elevator fault monitoring device, the device comprising:

Acoustic emission sensor, used to receive acoustic emission signals, which are emitted by the brake device when the elevator is braking;

The control unit is configured to convert the acoustic emission signal into a voltage signal, and filter the voltage signal to extract a signal characteristic value; wherein the signal characteristic value includes a time domain signal characteristic value and a frequency domain signal characteristic value;

The control unit is also used for judging whether the brake device is faulty according to the signal characteristic threshold; wherein,

If the characteristic value of the time domain signal is not within the reference range of the time domain signal, the control unit determines that the brake device is faulty;

If the frequency domain signal characteristic value is not within the frequency domain signal reference range, the control unit determines that the brake device is faulty.
The device according to claim 6, wherein the control unit comprises a first analysis sub-unit, and the first analysis sub-unit is configured to use a characteristic analysis method to perform correlation analysis on the time-domain variables of the acoustic emission signal to determine The time-domain signal characteristic value of the acoustic emission signal; the time-domain variables include: amplitude, energy, ringing count, event, rise time, duration, and threshold voltage.
The device according to claim 6, wherein the control unit comprises a second analysis subunit, and the second analysis subunit is configured to use a spectrum analysis method to analyze the spectrum variables of the acoustic emission signal to determine the acoustic emission signal. The frequency domain signal characteristic value of the transmitted signal; the frequency spectrum variables include: amplitude, duration, energy, arrival time, root mean square voltage value, number of impacts, number of impacts rate and external parameters.
The device according to claim 6, further comprising an alarm unit configured to trigger an alarm after the control unit determines that the brake device is faulty.
An elevator fault monitoring system, the system comprising: a brake device and the elevator fault monitoring device according to any one of claims 6-9.