CN115790823A - Fault diagnosis method of GIS disconnecting link switch and sound vibration acquisition equipment with multiple monitoring points - Google Patents

Fault diagnosis method of GIS disconnecting link switch and sound vibration acquisition equipment with multiple monitoring points Download PDF

Info

Publication number
CN115790823A
CN115790823A CN202211426879.7A CN202211426879A CN115790823A CN 115790823 A CN115790823 A CN 115790823A CN 202211426879 A CN202211426879 A CN 202211426879A CN 115790823 A CN115790823 A CN 115790823A
Authority
CN
China
Prior art keywords
sound
vibration
data
disconnecting link
gis
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202211426879.7A
Other languages
Chinese (zh)
Inventor
张斌
伍圳
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong University of Technology
Original Assignee
Guangdong University of Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangdong University of Technology filed Critical Guangdong University of Technology
Priority to CN202211426879.7A priority Critical patent/CN115790823A/en
Publication of CN115790823A publication Critical patent/CN115790823A/en
Pending legal-status Critical Current

Links

Images

Landscapes

  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)

Abstract

The invention provides a fault diagnosis method of a GIS disconnecting link switch and sound vibration acquisition equipment with multiple monitoring points, and relates to the technical field of GIS disconnecting link switch fault diagnosis, wherein sound and vibration data under the normal working condition of the GIS disconnecting link switch are acquired to determine a threshold value, a multi-monitoring-point acquisition mode of uninterrupted monitoring and formal monitoring in idle is adopted, and whether the data monitored in idle is abnormal or not is judged according to the sound and vibration amplitude frequency threshold value in the uninterrupted monitoring in idle, and the acquisition and detection functions of the sound vibration data are only started in the process of the mode, so that the energy consumption is reduced, the data processing speed is accelerated, the sound vibration data without abnormality are discarded, and the memory space is saved; and when the failure occurs, the failure diagnosis method enters a formal monitoring mode, the process of the mode comprises the functions of data acquisition, data processing, data storage and the like, and after the formal sound vibration information is detected, threshold judgment is carried out on the data monitored by the rest acquisition monitoring points, so that the reliability of the failure diagnosis result is improved.

Description

Fault diagnosis method of GIS disconnecting link switch and sound vibration acquisition equipment with multiple monitoring points
Technical Field
The invention relates to the technical field of GIS disconnecting link switch fault diagnosis, in particular to a GIS disconnecting link switch fault diagnosis method and multi-monitoring-point sound vibration acquisition equipment.
Background
GIS equipment has the advantages of compact structure, high reliability, good anti-seismic performance, low noise, small maintenance amount, no influence of external environmental conditions and the like, and is more and more widely applied to power systems.
The GIS disconnecting link is important equipment which is indispensable for a transformer substation and is used for changing the operation mode of a system and maintaining and isolating, the operation condition of the GIS disconnecting link directly influences the safety of switching operation, and the GIS disconnecting link is extremely important for ensuring the safe and stable operation of a power grid. Compared with the traditional open type equipment, the failure rate is lower, but once the failure occurs, the detection and the failure removal of a failure point are relatively difficult, the power restoration is slow, and the accident handling cost is high. Therefore, it is very important to detect the mechanical state of the disconnecting link switch in the GIS during operation, and the traditional mechanical state judgment is to listen to the working sound and perform experience judgment on the disconnecting link switch by virtue of an expert during operation. The defects of the mode are that the problem can be found only in fixed maintenance time, various faults of the knife switch cannot be timely processed, the fault rate of the GIS knife switch is low, the knife switch is frequently and manually maintained, manpower and material resources are consumed, and misjudgment and missing judgment are inevitable.
The prior art discloses a GIS breaker fault on-line monitoring system and method based on sound, and the GIS breaker fault on-line monitoring method based on sound comprises the following steps: acquiring and storing a plurality of fault action sound signals of different types of GIS circuit breakers; collecting real-time action sound signals of a GIS breaker; and if the similarity between the real-time action sound signal and one type of fault action sound signal is greater than a first preset threshold value, the GIS circuit breaker is judged to have a fault, the mechanical state of the GIS circuit breaker can be monitored on line, and the GIS circuit breaker can be conveniently overhauled and maintained. On one hand, the scheme carries out calculation comparison processing on all the motion sound signal data acquired in real time, and has the defects of large occupied storage space of data, high data storage cost and large running power consumption of a processor; on the other hand, all data in the whole process are judged through a single absolute standard (a first preset threshold), and a fault diagnosis conclusion is directly obtained according to the judgment result, so that certain misjudgment exists, and the reliability of the fault diagnosis result is low.
Disclosure of Invention
In order to solve the problems of large storage space occupied by data, large processing energy consumption and low reliability of fault diagnosis results in the conventional fault diagnosis mode of the GIS disconnecting link switch, the invention provides a fault diagnosis method of the GIS disconnecting link switch and multi-monitoring-point sound vibration acquisition equipment.
In order to achieve the technical effects, the technical scheme of the invention is as follows:
a method of fault diagnosis of a GIS knife switch, the method comprising:
s1, sound vibration data are measured on a GIS disconnecting link switch shell for many times, the position with the most obvious sound loudness and vibration amplitude is used as a collecting area, an external sound card and a vibration sensor are placed, sound and vibration data under the normal working condition of the GIS disconnecting link switch are collected and analyzed, and a sound loudness frequency threshold value and a vibration amplitude frequency threshold value are determined;
s2, monitoring continuously in idle time: the method comprises the following steps that sound and vibration data of a GIS disconnecting link switch are collected by multiple collection monitoring points continuously, and Fourier transformation is carried out on the collected data to obtain sound loudness frequency and vibration amplitude frequency;
s3, judging whether the sound loudness frequency exceeds a sound loudness frequency threshold or whether the vibration amplitude frequency exceeds a sound loudness frequency threshold, if so, correspondingly acquiring a monitoring point to trigger interruption, recording the time point of triggering the interruption, and executing the step S4; otherwise, the GIS disconnecting link switch is not abnormal, the collected sound and vibration data are discarded, and the S2 is returned;
s4, starting formal monitoring: entering a triggered sound vibration information processing process of interrupting the acquisition monitoring point to obtain the fault type of the GIS disconnecting link switch;
s5, taking the time point of triggering interruption and the number of the current acquisition monitoring point of triggering interruption as log information records, and carrying out fault area positioning and positioning information storage;
and S7, returning the data monitored by the other acquisition monitoring points to execute the step S3.
According to the technical scheme, firstly, sound and vibration data under the normal working condition of a GIS disconnecting link switch are collected to determine a threshold value, then, a mode that idle uninterrupted monitoring and formal monitoring are matched with multi-monitoring-point collection is adopted, whether the idle uninterrupted monitored data is abnormal or not is judged according to a sound loudness frequency threshold value and a vibration amplitude frequency threshold value in the idle uninterrupted monitoring, the process of the idle uninterrupted monitoring only starts the collection and detection functions of the sound vibration data, the energy consumption is reduced, the data processing speed is accelerated, and the sound vibration data without abnormality is immediately discarded, so that the memory space is saved; when the failure occurs, the failure diagnosis method enters a formal monitoring mode, the formal monitoring process comprises the functions of data acquisition, data processing, data storage and the like, and after the formal sound vibration information detection is completed, threshold judgment is carried out on the data monitored by the rest acquisition monitoring points, so that the reliability of the failure diagnosis result is improved.
Preferably, in step S1, the collected sound and vibration data under the normal condition of the GIS disconnecting link switch are respectively analyzed for amplitude and frequency, the first five frequency components and amplitudes of the sound and vibration data under the normal condition of the GIS disconnecting link switch are respectively recorded, and then the amplitudes of the first five frequency components are averaged and respectively used as a sound loudness frequency threshold and a vibration amplitude frequency threshold.
The characteristic that the main working frequency in GIS operation equipment is unchanged is utilized to determine the threshold value of sound loudness frequency and the threshold value of vibration amplitude frequency.
Preferably, the GIS switch is provided with a plurality of sound vibration collection monitoring points, each sound vibration collection monitoring point is provided with a monitoring device, each monitoring device comprises an external sound card and an acceleration sensor, sound data are collected through the external sound card, vibration data are collected through the acceleration sensors, and the external sound card and the acceleration sensors are placed together to serve as the monitoring device of one sound vibration monitoring point.
Here, the mode of adopting a plurality of sound vibration collection monitoring points, the reliability of failure diagnosis is higher.
Preferably, each external sound card collects sound generated when the GIS disconnecting link switch operates according to the frequency of H1 and the fixed time length of T seconds to the main controller and stores the sound into a WAV file, then the main controller converts the WAV file into a PCM file, then the PCM file directly generates a frequency domain diagram of the section of audio frequency after fast Fourier transform, the frequency domain diagram is used for analyzing the loudness and the frequency of the sound, each acceleration sensor collects vibration acceleration information when the GIS disconnecting link switch operates according to the frequency of H2 and the fixed time length of T seconds to the main controller, in the main controller, the acceleration data are processed into vibration data, then the frequency domain diagram of the section of vibration data is directly generated after fast Fourier transform, and the frequency domain diagram is used for analyzing the amplitude and the frequency of the vibration information.
Preferably, except the acquisition monitoring point triggering the interruption, the external sound cards and the acceleration sensors of other acquisition monitoring points still continuously acquire sound and vibration data, and the sound data and the vibration data are stored into a temporary file in a DMA mode. The part is realized by DMA, and is not required to be controlled by a CPU, so that the space and the energy consumption are saved.
Preferably, the step S4 of obtaining the fault type of the GIS disconnecting link switch includes:
the method comprises the steps of collecting and storing sound and vibration data of a GIS disconnecting link switch with fixed time duration, storing the sound data after denoising, using the vibration data and the sound data after denoising as input data of a machine learning model trained in advance, and outputting fault types.
Preferably, after the sound vibration information processing process of the triggered and interrupted acquisition monitoring point is finished, the main controller respectively analyzes and judges the temporary files saved by the acquisition monitoring points except the acquisition monitoring point triggered and interrupted: if the sound loudness frequency exceeds the sound loudness frequency threshold or the vibration amplitude frequency exceeds the sound loudness frequency threshold, judging that the sound loudness frequency is abnormal, correspondingly acquiring a monitoring point to trigger interruption, recording the time point of triggering the interruption, executing the step S4, if the sound loudness frequency is not abnormal, immediately deleting the temporary file, and then, the main controller enters the step S2.
Preferably, the step S5 of locating the fault area includes:
selecting the positions of two groups of acquisition monitoring points which trigger interruption firstly in the recorded log information as arc end points of a GIS disconnecting link switch shell, and taking the circle center of a GIS disconnecting link switch cylinder as the circle center of an arc, and dividing a fan-shaped area as a fault occurrence area according to the circle center.
This application still provides many monitoring points sound vibration collection equipment in failure diagnosis of GIS switch, includes: each sound vibration information acquisition end comprises an external sound card and an acceleration sensor placed together with the external sound card, each sound vibration information acquisition end is an acquisition monitoring point and is arranged on a housing of the GIS disconnecting link switch, and the sound vibration information acquisition ends surround the housing of the GIS disconnecting link switch and are distributed at equal intervals; the main controller is connected with each external sound card, the main controller controls the external sound card to collect sound data, and the external sound card is fixed on the shell of the GIS disconnecting link switch; the main controller is connected with each acceleration sensor through a lead, I2C is adopted for communication, the acceleration sensors are controlled to acquire acceleration data and transmit the acceleration data back to the main controller, and the acceleration data are converted into vibration data after being processed; the acceleration sensor is arranged on the shell of the GIS disconnecting link switch, is fixed beside the external sound card and is matched with the external sound card to be used as a monitoring point. The GIS disconnecting link switch body does not need to be connected with the GIS disconnecting link switch body, and the operation of the GIS disconnecting link switch body is not influenced.
Preferably, the sound-electricity conversion quantity ratio and the sound collection frequency of each external sound card are the same, and the three-axis acceleration detection precision and the acceleration collection frequency of each acceleration sensor are the same.
Compared with the prior art, the technical scheme of the invention has the beneficial effects that:
the invention has proposed a GIS switch fault diagnosis method and many monitoring points sound vibration gathering equipment, gather sound and vibration data under the normal operating mode of GIS switch at first in order to confirm the threshold value, then adopt the way that incessant monitoring of idle time cooperates with formal monitoring many monitoring points to gather, in incessant monitoring of idle time, judge whether incessant monitoring data of idle time are unusual with sound loudness frequency threshold value and vibration amplitude frequency threshold value, incessant monitoring of idle time this course only opens the collection and detection function of the sound vibration data, reduce the energy consumption, accelerate the data handling rate, and abandon the sound vibration data without abnormality immediately, in order to save the memory space; when the failure occurs, the failure diagnosis method enters a formal monitoring mode, the formal monitoring process comprises the functions of data acquisition, data processing, data storage and the like, and after the formal sound vibration information detection is completed, threshold judgment is carried out on the data monitored by the rest acquisition monitoring points, so that the reliability of the failure diagnosis result is improved.
Drawings
Fig. 1 is a schematic flowchart of a fault diagnosis method for a GIS disconnecting link switch according to embodiment 1 of the present invention;
fig. 2 shows a schematic diagram of the fault localization proposed in embodiment 2 of the present invention;
fig. 3 is a schematic diagram showing an application of the sound vibration information collecting device in the fault diagnosis of the GIS disconnecting link switch provided in embodiment 3 of the present invention.
Detailed Description
The drawings are for illustrative purposes only and are not to be construed as limiting the patent;
for better illustration of the present embodiment, certain parts of the drawings may be omitted, enlarged or reduced, and do not represent actual dimensions;
it will be understood by those skilled in the art that certain well-known descriptions of the figures may be omitted.
The positional relationships depicted in the drawings are for illustrative purposes only and are not to be construed as limiting the present patent;
the technical solution of the present invention is further described below with reference to the accompanying drawings and examples.
Example 1
The embodiment provides a method for diagnosing the fault of a GIS disconnecting link switch, and referring to a flow chart shown in fig. 1, the method comprises the following steps:
s1, sound vibration data are measured on a GIS disconnecting link switch shell for multiple times, an external sound card and a vibration sensor are placed by taking the position with the most obvious sound loudness and vibration amplitude as a collection point, sound and vibration data under the normal working condition of the GIS disconnecting link switch are collected and analyzed, and a sound loudness frequency threshold value and a vibration amplitude frequency threshold value are determined;
s2, monitoring continuously in idle time: the method comprises the following steps that sound and vibration data of a GIS disconnecting link switch are collected by multiple collection monitoring points continuously, and Fourier transformation is carried out on the collected data to obtain sound loudness frequency and vibration amplitude frequency;
in this embodiment, the idle uninterrupted monitoring is 24 hours per day uninterrupted monitoring, and in this way, only the functions of collecting and detecting sound vibration data are started, so that the energy consumption is reduced, and the data processing speed is increased;
s3, judging whether the sound loudness frequency exceeds a sound loudness frequency threshold or whether the vibration amplitude frequency exceeds a sound loudness frequency threshold, if so, triggering interruption corresponding to the acquisition monitoring point, recording the time point of triggering interruption, and executing the step S4; otherwise, the GIS disconnecting link switch is not abnormal, the collected sound and vibration data are discarded, and the S2 is returned; in this embodiment, when the sound vibration data does not exceed the threshold, the sound vibration data is immediately discarded to save the memory space.
S4, starting formal monitoring: entering a triggered sound vibration information processing process of interrupting the acquisition monitoring point to obtain the fault type of the GIS disconnecting link switch;
s5, taking the time point of triggering interruption and the number of the current acquisition monitoring point of triggering interruption as log information records, and carrying out fault area positioning and positioning information storage;
and S7, returning the data monitored by the other acquisition monitoring points to execute the step S3.
In this embodiment, before performing idle uninterrupted monitoring and collection of multiple monitoring points in cooperation with formal monitoring, sound and vibration data of the GIS disconnecting link switch under a normal working condition are collected to determine a subsequent sound loudness frequency threshold and a subsequent vibration amplitude frequency threshold. Herein, the characteristics that the main working frequency in the GIS operation equipment is unchanged are utilized to determine the threshold value of the sound loudness frequency and the threshold value of the vibration amplitude frequency, specifically: respectively analyzing the amplitude and the frequency of the collected sound and vibration data under the normal working condition of the GIS disconnecting link switch, respectively recording the first five frequency components and the amplitudes of the sound and vibration data under the normal working condition of the GIS disconnecting link switch, and then averaging the amplitudes of the first five frequency components to respectively serve as a sound loudness frequency threshold and a vibration amplitude frequency threshold.
In the embodiment, a mode of collecting monitoring points by using a plurality of sound vibrations is adopted, so that the reliability of fault diagnosis is higher. The GIS disconnecting link switch is provided with a plurality of sound vibration collection monitoring points, each sound vibration collection monitoring point is provided with a monitoring device, each monitoring device comprises an external sound card and an acceleration sensor, sound data are collected through the external sound cards, vibration data are collected through the acceleration sensors, and the external sound cards and the acceleration sensors are placed together to serve as the monitoring devices of one sound vibration monitoring point.
The sound generated when the GIS disconnecting link switch operates is collected to the main controller by each external sound card according to the frequency of 44100Hz and the fixed time length of 10 seconds and stored into a WAV file, the WAV file can also be stored into files in other formats at the common frequencies of 20000Hz, 40000Hz and the like during specific implementation, then the WAV file is converted into a PCM file by the main controller, and then a frequency domain diagram of the section of audio is directly generated after the PCM file is subjected to fast Fourier transform, and the frequency domain diagram is used for analyzing the loudness and the frequency of the sound.
Vibration acceleration information of the GIS disconnecting link switch during operation is collected into the main controller by each acceleration sensor according to 3200Hz frequency and 10 second fixed time, and the collection frequency of the external sound card can be 800Hz, 1600Hz and other common frequencies during specific implementation. In the main controller, the acceleration data is processed into vibration data, and then after fast Fourier transform, a frequency domain map of the section of vibration data is directly generated, and the frequency domain map is used for analyzing the amplitude and the frequency of the vibration information.
In this embodiment, except for the acquisition monitoring point that triggers the interrupt, the external sound cards and acceleration sensors of other acquisition monitoring points still continuously acquire sound and vibration data, and the sound data and the vibration data are stored as a temporary file in a DMA manner. The part is realized by DMA, and is not required to be controlled by a CPU, so that excessive burden is not added to the CPU, and the space and the energy consumption are saved.
After the analysis and processing of the sound and vibration data are finished, the sound and vibration data are compared with a set threshold value, when the amplitude of the non-main frequency component in the sound or vibration data does not exceed the threshold value, the sound or vibration data are judged to be abnormal, the data are directly discarded, and the next data acquisition is directly carried out.
And when the amplitude of the non-main frequency component in the sound or vibration data exceeds the threshold, judging that the sound or vibration data is abnormal and triggering interruption, recording the time point of triggering interruption, and then entering a sound vibration information processing program to detect formal sound vibration information.
After the sound vibration information processing process of the triggered interrupt acquisition monitoring point is finished, the main controller respectively analyzes and judges temporary files saved by other acquisition monitoring points except the acquisition monitoring point triggered to interrupt: if the sound loudness frequency exceeds the sound loudness frequency threshold or the vibration amplitude frequency exceeds the sound loudness frequency threshold, judging that the sound loudness frequency is abnormal, correspondingly acquiring a monitoring point to trigger interruption, recording the time point of triggering the interruption, executing the step S4, if the sound loudness frequency is not abnormal, immediately deleting the temporary file, and then, the main controller enters the step S2.
Example 2
The step S4 of obtaining the fault type of the GIS disconnecting link switch comprises the following steps:
the method comprises the steps of collecting and storing sound and vibration data of a GIS disconnecting link switch with fixed time duration, storing the sound data after denoising, using the vibration data and the sound data after denoising as input data of a machine learning model trained in advance, and outputting fault types.
In this embodiment, the pre-trained machine learning model may be an existing relatively mature neural network, such as a convolutional neural network, and is trained by a large amount of existing data sets to obtain the pre-trained neural network, which is currently used in this field, such as a support vector machine, a BP neural network, and a MobileNet.
The process of locating the fault area in step S5 is as follows:
the GIS disconnecting link switch is a cylinder, the positions of two groups of acquisition monitoring points which trigger interruption firstly in recorded log information are selected as arc end points of a GIS disconnecting link switch shell, the circle center of the GIS disconnecting link switch cylinder is used as the circle center of an arc, and a sector area is divided according to the position and used as a fault occurrence area.
As shown in fig. 2, the collection monitoring points 1 (the positions of the external sound card 101 and the acceleration sensor 102) and the monitoring points 2 (the positions of the external sound card 201 and the acceleration sensor 202) are two groups of collection monitoring points which trigger interruption first, so that the fault occurrence area can be divided according to the two groups of collection monitoring points. In fig. 2, the shaded portion is an arc surface, the positions of the two groups of collecting monitoring points are arc end points, and the area enclosed by the dotted line is the area where the fault occurs.
Example 3
This embodiment proposes sound vibration information acquisition equipment in failure diagnosis of GIS switch, as shown in fig. 3, includes: 3 sound vibration information acquisition end and main control unit, each sound vibration information acquisition end all include an external sound card and with external sound card placed acceleration sensor together, each sound vibration information acquisition end is a collection monitoring point, and sets up on GIS switch's shell, a plurality of sound vibration information acquisition end encircles GIS switch's shell and equidistant distribution sets up.
In this embodiment, referring to fig. 3, the external sound card includes a first external sound card 1, a second external sound card 3, and a third external sound card 5, the acceleration sensor includes a first acceleration sensor 2, a second acceleration sensor 4, and a third acceleration sensor 6, the main controller is connected to each external sound card through a USB port, and the main controller controls the external sound card to collect sound data, and in specific implementation, the external sound card is fixed to the housing of the GIS disconnecting link switch through a thickened double-sided tape; the main controller is connected with each acceleration sensor through a lead, I2C is adopted for communication, the acceleration sensors are controlled to acquire acceleration data and transmit the acceleration data back to the main controller, and the acceleration data are converted into vibration data after being processed. The acceleration sensor is sequentially arranged on the shell of the GIS disconnecting link switch by the magnetic force paste pasted on the back surface and the magnetic force, is fixed beside the external sound card and is matched as a monitoring point. The sound vibration information acquisition equipment provided by the embodiment does not need to be connected with a GIS disconnecting link switch entity, and does not have any influence on the operation of a GIS disconnecting link switch body.
The sound-electricity conversion quantity ratio and the sound collection frequency of each external sound card are the same, and the three-axis acceleration detection precision and the acceleration collection frequency of each acceleration sensor are the same. As shown in fig. 3, an acceleration sensor and an external sound card form a group of monitoring points, the installation positions of every two groups of monitoring points on the GIS disconnecting switch housing have the same interval, and in fig. 3, the installation positions of every two groups of monitoring points on the GIS disconnecting switch housing have the same interval Ld.
It should be understood that the above-described embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.

Claims (10)

1. A fault diagnosis method of a GIS disconnecting link switch is characterized by comprising the following steps:
s1, sound vibration data are measured on a GIS disconnecting link switch shell for multiple times, an external sound card and a vibration sensor are placed by taking the position with the most obvious sound loudness and vibration amplitude as a collection point, sound and vibration data under the normal working condition of the GIS disconnecting link switch are collected and analyzed, and a sound loudness frequency threshold value and a vibration amplitude frequency threshold value are determined;
s2, monitoring continuously in idle time: the method comprises the following steps that sound and vibration data of a GIS disconnecting link switch are collected by multiple collection monitoring points continuously, and Fourier transformation is carried out on the collected data to obtain sound loudness frequency and vibration amplitude frequency;
s3, judging whether the sound loudness frequency exceeds a sound loudness frequency threshold or whether the vibration amplitude frequency exceeds a sound loudness frequency threshold, if so, triggering interruption corresponding to the acquisition monitoring point, recording the time point of triggering interruption, and executing the step S4; otherwise, the GIS disconnecting link switch is not abnormal, the collected sound and vibration data are discarded, and the S2 is returned;
s4, starting formal monitoring: entering a triggered sound vibration information processing process of interrupting the acquisition monitoring point to obtain the fault type of the GIS disconnecting link switch;
s5, taking the time point of triggering interruption and the number of the current acquisition monitoring point of triggering interruption as log information records, and carrying out fault area positioning and positioning information storage;
and S6, returning the data monitored by the other acquisition monitoring points to execute the step S3.
2. The method for diagnosing the fault of the GIS disconnecting link switch according to claim 1, wherein in step S1, the collected sound and vibration data under the normal working condition of the GIS disconnecting link switch are respectively analyzed for amplitude and frequency, the first five frequency components and the amplitudes of the sound and vibration data under the normal working condition of the GIS disconnecting link switch are respectively recorded, and then the amplitudes of the first five frequency components are averaged to be respectively used as a sound loudness frequency threshold and a vibration amplitude frequency threshold.
3. The GIS switch fault diagnosis method of claim 2, wherein the GIS switch is provided with a plurality of sound and vibration collection monitoring points, each sound and vibration collection monitoring point is provided with a monitoring device, the monitoring devices comprise an external sound card and an acceleration sensor, wherein sound data are collected through the external sound card, vibration data are collected through the acceleration sensor, and the external sound card and the acceleration sensor are placed together to serve as a monitoring device of one sound and vibration monitoring point.
4. The GIS switch fault diagnosis method of claim 3, wherein each external sound card collects sounds of the GIS switch during operation to the main controller according to the frequency of H1 and the fixed time duration of T seconds, and stores the sounds as a WAV file, then the main controller converts the WAV file into a PCM file, then the PCM file directly generates a frequency domain diagram of the section of audio frequency after fast Fourier transform, the frequency domain diagram is used for analyzing the loudness and the frequency of the sounds, each acceleration sensor collects vibration acceleration information of the GIS switch during operation according to the frequency of H2 and the fixed time duration of T seconds to the main controller, in the main controller, the acceleration data are processed into vibration data, then the frequency domain diagram of the section of vibration data is directly generated after fast Fourier transform, and the frequency domain diagram is used for analyzing the amplitude and the frequency of the vibration information.
5. The GIS switch fault diagnosis method according to claim 4, wherein the external sound cards and acceleration sensors of other collection monitoring points, except the collection monitoring point triggering the interruption, continuously collect sound and vibration data, and the sound data and the vibration data are saved as a temporary file by means of DMA.
6. The method for diagnosing the fault of the GIS disconnecting link switch according to claim 5, wherein the step S4 of obtaining the fault type of the GIS disconnecting link switch comprises the following steps:
the method comprises the steps of collecting and storing sound and vibration data of a GIS disconnecting link switch with fixed time duration, storing the sound data after denoising, using the vibration data and the sound data after denoising as input data of a machine learning model trained in advance, and outputting fault types.
7. The GIS switch fault diagnosis method of claim 5, characterized in that after the sound vibration information processing process of the triggered interrupt collection monitoring point is finished, the main controller analyzes and judges the temporary files saved by other collection monitoring points except the triggered interrupt collection monitoring point: if the sound loudness frequency exceeds the sound loudness frequency threshold or the vibration amplitude frequency exceeds the sound loudness frequency threshold, judging that the sound loudness frequency is abnormal, correspondingly acquiring a monitoring point to trigger interruption, recording the time point of triggering the interruption, executing the step S4, if the sound loudness frequency does not exceed the sound loudness frequency threshold, immediately deleting the temporary file, and then entering the step S2 by the main controller.
8. The method for diagnosing the fault of the GIS disconnecting link switch according to claim 2, wherein the step S5 of locating the fault area comprises the following steps:
the positions of two groups of acquisition monitoring points which trigger interruption firstly in the recorded log information are selected as arc end points of a GIS disconnecting link switch shell, the circle center of a GIS disconnecting link switch cylinder is used as the circle center of an arc, and a sector area is divided as a fault occurrence area according to the circle center of the arc.
9. The utility model provides a many monitoring points sound vibration collection equipment in GIS switch's failure diagnosis which characterized in that includes: each sound vibration information acquisition end comprises an external sound card and an acceleration sensor which is placed together with the external sound card, each sound vibration information acquisition end is an acquisition monitoring point and is arranged on a housing of the GIS disconnecting link switch, and the sound vibration information acquisition ends surround the housing of the GIS disconnecting link switch and are distributed at equal intervals; the main controller is connected with each external sound card, the main controller controls the external sound card to collect sound data, and the external sound card is fixed on the shell of the GIS disconnecting link switch; the main controller is connected with each acceleration sensor through a lead, I2C is adopted for communication, the acceleration sensors are controlled to acquire acceleration data and transmit the acceleration data back to the main controller, and the acceleration data are converted into vibration data after being processed; the acceleration sensor is arranged on the shell of the GIS disconnecting link switch, is fixed beside the external sound card and is matched with the external sound card to be used as a monitoring point.
10. The GIS switch fault diagnosis medium-multiple-monitoring-point sound vibration acquisition equipment as claimed in claim 9, wherein the sound-electricity conversion quantity ratio and the sound acquisition frequency of each external sound card are the same, and the three-axis acceleration detection precision and the acceleration acquisition frequency of each acceleration sensor are the same.
CN202211426879.7A 2022-11-15 2022-11-15 Fault diagnosis method of GIS disconnecting link switch and sound vibration acquisition equipment with multiple monitoring points Pending CN115790823A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211426879.7A CN115790823A (en) 2022-11-15 2022-11-15 Fault diagnosis method of GIS disconnecting link switch and sound vibration acquisition equipment with multiple monitoring points

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211426879.7A CN115790823A (en) 2022-11-15 2022-11-15 Fault diagnosis method of GIS disconnecting link switch and sound vibration acquisition equipment with multiple monitoring points

Publications (1)

Publication Number Publication Date
CN115790823A true CN115790823A (en) 2023-03-14

Family

ID=85437693

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211426879.7A Pending CN115790823A (en) 2022-11-15 2022-11-15 Fault diagnosis method of GIS disconnecting link switch and sound vibration acquisition equipment with multiple monitoring points

Country Status (1)

Country Link
CN (1) CN115790823A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116541800A (en) * 2023-07-06 2023-08-04 利维智能(深圳)有限公司 Fusion diagnosis method, system, equipment and medium based on vibration and sound data

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116541800A (en) * 2023-07-06 2023-08-04 利维智能(深圳)有限公司 Fusion diagnosis method, system, equipment and medium based on vibration and sound data

Similar Documents

Publication Publication Date Title
US20090281740A1 (en) Cable fault detection
CN110530566B (en) System and detection method for monitoring pressure of opening and closing spring of circuit breaker
CN111261957B (en) Lithium ion energy storage battery thermal runaway protection system and method based on distribution control
CN103324128B (en) Primary equipment fault warning comprehensive compression method in power dispatching automation system
CN115790823A (en) Fault diagnosis method of GIS disconnecting link switch and sound vibration acquisition equipment with multiple monitoring points
CN104502837A (en) Diagnostic method and device for mechanical fault of circuit breaker
CN112098829A (en) FTU-based terminal and method for monitoring service life of power distribution switch
CN113177029A (en) Dynamic generation method, system, equipment and storage medium of power grid wave recording file
CN116381380A (en) Dynamic fault supervision system for intelligent substation fault recorder
CN110426192A (en) A kind of the acoustic fingerprints detection system and method for breaker
CN115825551A (en) Device and method for detecting output power of isolating switch motor
CN115144172A (en) GIS breaker fault online monitoring system and method based on sound
CN115951824A (en) Sampling data processing method, device and nonvolatile storage medium
CN112345648B (en) High-voltage circuit breaker cam crack fault detection device and method
CN115855754A (en) System and method for online monitoring of latent metal particles in GIS (gas insulated switchgear) related to action state of circuit breaker
CN112858902B (en) Miniature circuit breaker monitoring method and device, computer equipment and storage medium
CN113655259A (en) Intelligent electric energy meter fault alarm system
CN110988542A (en) Data clustering analysis system and method for power equipment
CN113466606A (en) Cable fault positioning system and method based on voiceprint recognition
CN112379211A (en) Detection method of power transmission line fault area positioning device
CN115348484B (en) Automatic switching method for signal acquisition link based on self-correcting signal monitoring
CN112327084B (en) Method and system for detecting vibration and sound of running state of transformer by utilizing equidistant transformation
CN114217168B (en) Efficient fault diagnosis method for power transmission line based on optimal characteristic selection of recording data
CN114754860B (en) Wireless vibration monitoring method, electronic equipment and storage medium
CN117591375A (en) Method and system for automatically recording waves in real-time simulation

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination