CN111397726A - Fault detection system based on acoustic imaging - Google Patents
Fault detection system based on acoustic imaging Download PDFInfo
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- CN111397726A CN111397726A CN202010207373.1A CN202010207373A CN111397726A CN 111397726 A CN111397726 A CN 111397726A CN 202010207373 A CN202010207373 A CN 202010207373A CN 111397726 A CN111397726 A CN 111397726A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1209—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing using acoustic measurements
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Abstract
The invention relates to a fault detection system based on acoustic imaging. The fault detection system includes: the device comprises a signal acquisition unit, a data comparison unit and a controller; the signal acquisition unit comprises a first signal acquisition unit and a second signal acquisition unit which are respectively used for acquiring fault sound signals and background noise signals; the data comparison unit is connected with the first signal acquisition unit and the second signal acquisition unit and is used for carrying out interference elimination analysis to obtain an audio signal to be detected; the controller is connected with the data comparison unit and used for performing acoustic imaging calculation according to the audio signal to be detected to obtain a corresponding sound source position of the main characteristic value, and performing fault diagnosis to obtain a diagnosis result. The fault detection system can obtain complete and non-interference fault sound signals in a coherent sound field, so that a pure fault sound effect is provided for the fault detection system, and the fault detection system can carry out accurate fault diagnosis.
Description
Technical Field
The invention relates to the technical field of fault detection, in particular to a GIS mechanical fault live detection system based on acoustic imaging
Background
A Gas Insulated fully-enclosed switchgear (GIS) is one of the most important devices in an electric power system, and has dual tasks of control and protection, and if a fault occurs during operation and cannot be handled in time, serious damage may be brought to a power grid.
The main method for detecting mechanical faults of the power transmission and transformation equipment GIS is a vibration signal analysis method, and early researches show that the mechanical faults such as contact abnormity can be detected by measuring vibration on a housing of the GIS, and typical vibration signals can be used for detecting internal latent faults, but the vibration signals can only be measured on the housing or at individual positions in the device generally, so that the mechanical conditions of the device are difficult to be comprehensively reflected. In recent years, few researches on detection of mechanical failure of the GIS are carried out, so that no systematic research report exists at present, and the research level of the GIS still stays at the early level in the last 90 th century.
Noise is generated by the vibration of the mechanical surface, and the mechanical failure causes abnormal vibration and changes of the radiation sound field. The acoustic diagnosis technology utilizes the noise emitted by the equipment to position and identify the fault, has the advantages of non-connectivity, simple and quick operation, no influence on the normal work of the equipment and the like, and is particularly suitable for the situation that a vibration signal is difficult to measure or the fault positioning is needed. Conventional acoustic diagnostic techniques are mainly based on single-channel measurements, and only obtain the law of the local acoustic features of the machine over time or frequency. Moreover, the anti-interference capability of the acoustic signal is poor, and particularly in a coherent sound field, the measuring point position is not easy to select. If the measuring points are selected improperly, the local acoustic features are insensitive to faults; if the acoustic signal of the fault source is annihilated by the acoustic signal of the interferer, conventional acoustic diagnostic techniques are no longer applicable. Therefore, how to obtain a complete and non-interference sound signal of a fault source in a coherent sound field, so that the acoustic characteristics of the sound signal can accurately reflect the position of the fault source and can be combined with the audio characteristics to perform fault diagnosis is a problem to be solved at present.
Disclosure of Invention
Therefore, it is necessary to provide a fault detection system based on acoustic imaging for the problem that the anti-interference capability of the acoustic signal is poor, especially how to obtain a complete non-interference fault source acoustic signal in a coherent sound field.
A fault detection system based on acoustic imaging, the fault detection system comprising: the device comprises a signal acquisition unit, a data comparison unit and a controller; wherein the content of the first and second substances,
the signal acquisition unit comprises a first signal acquisition unit and a second signal acquisition unit, the first signal acquisition unit is used for acquiring fault sound signals, and the second signal acquisition unit is used for acquiring background noise signals;
the data comparison unit is connected with the first signal acquisition unit and the second signal acquisition unit and is used for carrying out interference elimination analysis on the fault sound signal and the background noise signal to obtain an audio signal to be detected;
the controller is connected with the data comparison unit and used for performing acoustic imaging calculation according to the audio signal to be detected to obtain a corresponding sound source position of the main characteristic value, and performing fault diagnosis to obtain a diagnosis result.
The fault detection system based on acoustic imaging can well discriminate the sound signal of a fault source from background noise, and particularly can obtain a complete non-interference fault sound signal in a coherent sound field, so that a pure fault sound effect is provided for the fault detection system based on acoustic imaging, and the fault detection system can perform accurate fault diagnosis.
In one embodiment, the fault detection system comprises a sound transmission bracket, and the first signal acquisition unit is positioned on the sound transmission bracket; the sound transmission mount includes:
the upper half support and the lower half support, the upper half support with the lower half support is the semicircle board, the upper half support with all include enucleation cavity and link on the lower half support, the upper half support with lower half support lock is in the same place, just the link of upper half support with the link of lower half support is connected and forms circularly the biography sound support.
In one embodiment, the connecting end of the upper half bracket and the connecting end of the lower half bracket both include a connecting through hole therein, and the upper half bracket and the lower half bracket are connected by a bolt and a nut disposed in the connecting through hole.
In one embodiment, the failure detection system further comprises an acquisition assembly, wherein the acquisition assembly comprises a first base plate, the first base plate is attached to the inner side of the upper half bracket or the lower half bracket, where the enucleation groove is arranged, and one end of the first base plate, which is far away from the upper half bracket or the lower half bracket, is fixedly connected with a microphone of the acquisition assembly through a connecting rod; the second substrate is attached to the outer side, provided with the enucleation grooves, of the upper half stent or the lower half stent; one end of the supporting column is fixedly connected with one side, far away from the connecting rod, of the first substrate, and the other end of the supporting column sequentially penetrates through the enucleation empty groove and the second substrate to extend to one side, far away from the upper half bracket or the lower half bracket, of the second substrate.
In one embodiment, the detection system further includes a handle, and the handle is fixedly connected to one end of the pillar extending to one side of the second substrate away from the upper half-bracket or the lower half-bracket.
In one embodiment, the upper end of the second base plate is further provided with two handles, and the two handles are respectively located at two sides of the supporting column.
In one embodiment, the controller is further configured to perform enhancement processing on the audio signal to be detected to obtain an enhanced audio signal to be detected, perform acoustic imaging calculation based on the enhanced audio signal to be detected to obtain a sound source position corresponding to the main characteristic value, and perform fault diagnosis to obtain a diagnosis result.
In one embodiment, the fault detection system further comprises a storage unit, connected to the controller, for storing the time-stamped diagnostic result.
In one embodiment, the fault detection system further comprises a display unit, and the display unit is connected with the controller and is used for displaying the diagnosis result in real time.
In one embodiment, the fault detection system further includes a communication unit and an intelligent terminal, and the communication unit is connected to the controller and the intelligent terminal and is configured to transmit the diagnosis result to the intelligent terminal.
Drawings
FIG. 1 is a system block diagram of an embodiment of the acoustic imaging based fault detection system of the present invention;
FIG. 2 is a diagram of a configuration of an acoustic stent in an embodiment of the acoustic imaging based fault detection system of the present invention;
FIG. 3 is a block diagram of the attachment ends and coring slots of the acoustic stent in an embodiment of the acoustic imaging based fault detection system of the present invention;
FIG. 4 is a block diagram of an acquisition assembly in an embodiment of the acoustic imaging based fault detection system of the present invention;
FIG. 5 is a block diagram of another embodiment of the acoustic imaging based fault detection system of the present invention;
FIG. 6 is a block diagram of another embodiment of the acoustic imaging based fault detection system of the present invention;
fig. 7 is a system configuration diagram of another embodiment of the acoustic imaging based fault detection system of the present invention.
Detailed Description
To facilitate an understanding of the present application, the present application will now be described more fully with reference to the accompanying drawings. Preferred embodiments of the present application are shown in the drawings. This application may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
It will be understood that when an element is referred to as being "connected" to another element, it can be directly connected to the other element and be integral therewith, or intervening elements may also be present. The terms "mounted," "one end," "the other end," and the like are used herein for illustrative purposes only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
As shown in fig. 1, the present invention is a fault detection system based on acoustic imaging, the detection system comprising: the signal acquisition unit comprises a signal acquisition unit, a data comparison unit 300 and a controller 400, wherein the signal acquisition unit is divided into a first signal acquisition unit 100 and a second signal acquisition unit 200.
The method comprises the steps that a first signal acquisition unit 100 and a second signal acquisition unit 200 in a signal acquisition unit are used for respectively acquiring fault sound signals and background noise signals, the acquired fault sound signals and the acquired background noise signals are connected to a data comparison unit 300, and the data comparison unit 300 is connected with the first signal acquisition unit 100 and the second signal acquisition unit 200 and used for carrying out interference elimination analysis on the fault sound signals and the background noise signals to obtain audio signals to be detected.
The controller 400 is connected to the data comparing unit 300, and is configured to perform acoustic imaging calculation according to the audio signal to be detected, obtain a sound source position corresponding to the main characteristic value, and perform fault diagnosis to obtain a diagnosis result.
In an optional example, the data comparing unit 300 receives a fault sound signal transmitted by the first acquiring unit 100, the data comparing unit 300 receives a background noise signal transmitted by the second acquiring unit 200, and the data comparing unit 300 is configured to perform interference elimination analysis on the fault sound signal and the second sound signal, where the interference elimination analysis specifically includes the steps of:
step S10: acquiring a fault sound signal and a second sound signal;
step S11: removing all background noise signals in the fault sound signal by taking the background noise signal as background noise to obtain a pure fault sound effect;
step S12: and marking the obtained pure fault sound effect as an audio signal to be detected.
The data comparison unit 300 is configured to transmit the audio signal to be detected to the controller 400, and the controller 400 is configured to perform acoustic imaging calculation according to the audio signal to be detected to obtain a sound source position corresponding to the main characteristic value, and perform fault diagnosis by combining with the fault audio characteristics of the GIS device to obtain a diagnosis result.
The fault detection system based on acoustic imaging can well discriminate the sound signal of a fault source from background noise, and particularly can obtain a complete non-interference fault sound signal in a coherent sound field, so that a pure fault sound effect is provided for the fault detection system based on acoustic imaging, and the fault detection system can perform accurate fault diagnosis.
In one example, as shown in fig. 2, the detection system comprises a sound transmission stent, an upper half stent 902 and a lower half stent 903, wherein the upper half stent 902 and the lower half stent 903 are semicircular plates, as shown in fig. 3, each of the upper half stent 902 and the lower half stent 903 comprises an undercut 907 and a connecting end 908, the upper half stent 902 and the lower half stent 903 are buckled together, and the connecting end 908 of the upper half stent 902 and the connecting end 908 of the lower half stent 903 are connected to form a circular sound transmission stent.
In one example, as shown in fig. 2, the sound transmission bracket is circular, the diameter of the sound transmission bracket can be selected to be 40 cm-60 cm when in specific use, specifically, the diameter of the sound transmission bracket can be 40cm,50cm,60cm, so as to be convenient for a user to carry, the sound transmission bracket is formed by connecting an upper half bracket 902 and a lower half bracket 903, the upper half bracket 902 and the lower half bracket 903 are both semicircular plates, the inner diameter of the upper half bracket 902 is equal to the outer diameter of the lower half bracket 903, and the lower half bracket 903 can rotate in the upper half bracket 902.
In one example, as shown in fig. 2, the connecting end 908 of the upper half support 902 and the connecting end 908 of the lower half support 903 each include a connecting through hole therein, and the upper half support 902 and the lower half support 903 are connected by a bolt 905 and a nut 906 disposed in the connecting through holes.
In one example, as shown in fig. 4, the failure detection system further includes an acquisition assembly 904, the acquisition assembly includes a first substrate 9042 attached to the inner side of the upper half-stent 902 or the lower half-stent 903 with an undercut 907, one end of the first substrate 9042 away from the upper half-stent 902 or the lower half-stent 903 is fixedly connected to a microphone 9043 of the acquisition assembly 904 through a connecting rod 9044; the second base plate 9041 is attached to the outer side of the upper half bracket 902 or the lower half bracket 903, and provided with an enucleation groove 907; one end of each supporting column 9045 is fixedly connected to one side of the first substrate 9042, which is far away from the connecting rod 9044, and the other end of each supporting column 9045 sequentially penetrates through the gouging-out groove 907 and the second substrate 9041 to extend to one side, which is far away from the upper half stent 902 or the lower half stent 903, of the second substrate 9041.
In an optional example, as shown in fig. 2, 50 to 70 collection assemblies 904 can be selected when selecting, specifically, the number of the collection assemblies 904 can be 50,60, and 70, wherein 30 collection assemblies 904 are respectively disposed on the upper half support 902 and the lower half support 903.
In one example, as shown in fig. 4, the detection system further includes a handle 9047, and the handle 9047 is fixedly connected to one end of the brace 9045, which extends to a side of the second base plate 9041, which is away from the upper half support 902 or the lower half support 903.
In one example, as shown in fig. 4, a handle 9047 is fixed to one end of the supporting column 9045 away from the first base plate 9042, the handle 9047 is fixedly connected with the second base plate 9041 through a spring 9046, the spring 9046 is sleeved on the supporting column 9045, the second base plate 9041 can be compacted through fixing the spring 9046 between the handle 9047 and the second base plate 9041, the second base plate 9041 and the first base plate 9042 are attached to two ends of the hollow groove 907, and the position of the microphone 9043 can be moved and adjusted conveniently.
In one example, as shown in fig. 4, two handles 9048 are further disposed at the upper end of the second base plate 9041, and the two handles 9048 are respectively located at two sides of the supporting pillar 9045, so as to facilitate lifting of the second base plate 9041.
In an optional example, the controller 400 is further configured to perform enhancement processing on the audio signal to be detected to obtain an enhanced audio signal to be detected, perform acoustic imaging calculation based on the enhanced audio signal to be detected to obtain a sound source position corresponding to the main characteristic value, and perform fault diagnosis to obtain a diagnosis result.
The data comparison unit 300 is configured to transmit the audio signal to be detected to the controller 400, and the controller 400 is configured to perform enhancement processing on the obtained audio signal to be detected to obtain an enhanced audio signal to be detected, perform acoustic imaging calculation according to the enhanced audio signal to be detected to obtain a sound source position corresponding to the main characteristic value, and perform fault diagnosis by combining with the GIS equipment fault audio characteristics to obtain a diagnosis result.
In an alternative example, as shown in fig. 5, the fault detection system further includes a storage unit 500, and the storage unit 500 is connected to the controller 400, and is configured to store the time-stamped diagnosis result in the storage unit 500, and save and backup the relevant diagnosis result.
In an alternative example, as shown in fig. 6, the fault detection system further includes a display unit 600, and the display unit 600 is connected to the controller 400 for displaying the diagnosis result in the display unit 600 in real time.
In an alternative example, as shown in fig. 7, the fault detection system further includes a communication unit 700 and a smart device 800, wherein the communication unit 700 is connected with the controller 400 and the smart device 800 for transmitting the diagnosis structure to the smart device 800.
In an alternative example, the controller may transmit the diagnosis result to the smart terminal 800 through the RS485 communication unit 700, where the smart terminal 800 is a portable mobile device carried by a manager, and may be specifically a mobile phone or a tablet computer.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A fault detection system based on acoustic imaging, the fault detection system comprising: the device comprises a signal acquisition unit, a data comparison unit and a controller; wherein the content of the first and second substances,
the signal acquisition unit comprises a first signal acquisition unit and a second signal acquisition unit, the first signal acquisition unit is used for acquiring fault sound signals, and the second signal acquisition unit is used for acquiring background noise signals;
the data comparison unit is connected with the first signal acquisition unit and the second signal acquisition unit and is used for carrying out interference elimination analysis on the fault sound signal and the background noise signal to obtain an audio signal to be detected;
the controller is connected with the data comparison unit and used for performing acoustic imaging calculation according to the audio signal to be detected to obtain a corresponding sound source position of the main characteristic value, and performing fault diagnosis to obtain a diagnosis result.
2. The fault detection system of claim 1, wherein the fault detection system includes a sound-transmitting mount on which the first signal acquisition unit is located; the sound transmission mount includes: the upper half support and the lower half support, the upper half support with the lower half support is the semicircle board, the upper half support with all include enucleation cavity and link on the lower half support, the upper half support with lower half support lock is in the same place, just the link of upper half support with the link of lower half support is connected and forms circularly the biography sound support.
3. The fault detection system according to claim 2, wherein the connection end of the upper bracket half and the connection end of the lower bracket half each include a connection through hole therein, and the upper bracket half and the lower bracket half are connected by a bolt and a nut provided in the connection through hole.
4. The fault detection system according to claim 3, further comprising a collection assembly including a first base plate attached to the inner side of the upper or lower hemistent where the enucleation groove is provided, one end of the first base plate remote from the upper or lower hemistent being fixedly connected to a microphone of the collection assembly by a connecting rod; the second substrate is attached to the outer side, provided with the enucleation grooves, of the upper half stent or the lower half stent; one end of the supporting column is fixedly connected with one side, far away from the connecting rod, of the first substrate, and the other end of the supporting column sequentially penetrates through the enucleation empty groove and the second substrate to extend to one side, far away from the upper half bracket or the lower half bracket, of the second substrate.
5. The fault detection system of claim 4, further comprising a handle, wherein the handle is fixedly connected to an end of the brace extending to a side of the second base plate away from the upper half-rack or the lower half-rack.
6. The fault detection system of claim 5, wherein the second base plate is further provided with two handles at an upper end thereof, and the two handles are respectively located at two sides of the brace.
7. The fault detection system according to claim 1, wherein the controller is further configured to perform enhancement processing on the audio signal to be detected to obtain an enhanced audio signal to be detected, perform acoustic imaging calculation based on the enhanced audio signal to be detected to obtain a position of a sound source corresponding to the main characteristic value, and perform fault diagnosis to obtain a diagnosis result.
8. The fault detection system of claim 1, further comprising a storage unit coupled to the controller for storing the time stamped diagnostic results.
9. The fault detection system of claim 1, further comprising a display unit coupled to the controller for displaying the diagnostic results in real time.
10. The fault detection system according to claim 1, further comprising a communication unit and an intelligent terminal, wherein the communication unit is connected to the controller and the intelligent terminal, and is configured to transmit the diagnosis result to the intelligent terminal.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114859194A (en) * | 2022-07-07 | 2022-08-05 | 杭州兆华电子股份有限公司 | Non-contact-based partial discharge detection method and device |
Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140172327A1 (en) * | 2012-12-18 | 2014-06-19 | Eaton Corporation | Underground transformer electrical fault detection using acoustic sensing technology |
| CN104749468A (en) * | 2015-03-31 | 2015-07-01 | 国家电网公司 | GIS fault diagnosis system and method thereof |
| CN105223453A (en) * | 2015-11-03 | 2016-01-06 | 广东电网有限责任公司佛山供电局 | Based on substation transformer trouble-shooter and the method for multiple attribute synthetical evaluation |
| CN105929310A (en) * | 2016-04-27 | 2016-09-07 | 支磊 | Device for detecting GIS partial discharge fault and detection method thereof |
| CN106404377A (en) * | 2016-11-10 | 2017-02-15 | 西安交通大学 | Transformer mechanical fault diagnosis method based on acoustic imaging technology |
| CN107748314A (en) * | 2017-10-18 | 2018-03-02 | 国网重庆市电力公司北碚供电分公司 | Transformer Faults Analysis system based on sound wave shock detection |
| CN108613820A (en) * | 2018-05-22 | 2018-10-02 | 国网陕西省电力公司榆林供电公司 | A kind of online allophone monitoring algorithm for GIS bulk mechanicals defect diagonsis and positioning |
| CN108646151A (en) * | 2018-05-10 | 2018-10-12 | 东南大学 | Cable discharge acoustic detector based on adaptive noise reduction |
| 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 |
| CN109612572A (en) * | 2018-11-14 | 2019-04-12 | 国网上海市电力公司 | For quickly identifying the device and method of high voltage reactor abnormal sound sound source position |
| CN109709437A (en) * | 2018-11-26 | 2019-05-03 | 国网上海市电力公司 | A kind of device and method of the abnormal sound sound source position of extra-high voltage transformer for identification |
| CN109883747A (en) * | 2019-03-25 | 2019-06-14 | 国网宁夏电力有限公司电力科学研究院 | GIS method for diagnosing faults based on sound intensity cloud atlas |
| CN109916612A (en) * | 2019-03-28 | 2019-06-21 | 国网宁夏电力有限公司电力科学研究院 | GIS mechanical breakdown electrification detection system based on acoustics imaging |
| CN110824307A (en) * | 2019-11-07 | 2020-02-21 | 国网江苏省电力有限公司盐城供电分公司 | Electrified positioning system that detects of inside insulation fault of closed cubical switchboard |
-
2020
- 2020-03-23 CN CN202010207373.1A patent/CN111397726A/en active Pending
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140172327A1 (en) * | 2012-12-18 | 2014-06-19 | Eaton Corporation | Underground transformer electrical fault detection using acoustic sensing technology |
| CN104749468A (en) * | 2015-03-31 | 2015-07-01 | 国家电网公司 | GIS fault diagnosis system and method thereof |
| CN105223453A (en) * | 2015-11-03 | 2016-01-06 | 广东电网有限责任公司佛山供电局 | Based on substation transformer trouble-shooter and the method for multiple attribute synthetical evaluation |
| CN105929310A (en) * | 2016-04-27 | 2016-09-07 | 支磊 | Device for detecting GIS partial discharge fault and detection method thereof |
| CN106404377A (en) * | 2016-11-10 | 2017-02-15 | 西安交通大学 | Transformer mechanical fault diagnosis method based on acoustic imaging technology |
| CN107748314A (en) * | 2017-10-18 | 2018-03-02 | 国网重庆市电力公司北碚供电分公司 | Transformer Faults Analysis system based on sound wave shock detection |
| CN108646151A (en) * | 2018-05-10 | 2018-10-12 | 东南大学 | Cable discharge acoustic detector based on adaptive noise reduction |
| CN108613820A (en) * | 2018-05-22 | 2018-10-02 | 国网陕西省电力公司榆林供电公司 | A kind of online allophone monitoring algorithm for GIS bulk mechanicals defect diagonsis and positioning |
| CN109612572A (en) * | 2018-11-14 | 2019-04-12 | 国网上海市电力公司 | For quickly identifying the device and method of high voltage reactor abnormal sound sound source position |
| CN109709437A (en) * | 2018-11-26 | 2019-05-03 | 国网上海市电力公司 | A kind of device and method of the abnormal sound sound source position of extra-high voltage transformer for identification |
| 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 |
| CN109883747A (en) * | 2019-03-25 | 2019-06-14 | 国网宁夏电力有限公司电力科学研究院 | GIS method for diagnosing faults based on sound intensity cloud atlas |
| CN109916612A (en) * | 2019-03-28 | 2019-06-21 | 国网宁夏电力有限公司电力科学研究院 | GIS mechanical breakdown electrification detection system based on acoustics imaging |
| CN110824307A (en) * | 2019-11-07 | 2020-02-21 | 国网江苏省电力有限公司盐城供电分公司 | Electrified positioning system that detects of inside insulation fault of closed cubical switchboard |
Non-Patent Citations (2)
| Title |
|---|
| 李秀广: "《基于声学成像的GIS 机械故障带电检测系统》", 《高压电器》 * |
| 邵向潮: "《变电设备运行背景噪声差异性研究》", 《湖北电力》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114859194A (en) * | 2022-07-07 | 2022-08-05 | 杭州兆华电子股份有限公司 | Non-contact-based partial discharge detection method and device |
| CN114859194B (en) * | 2022-07-07 | 2022-09-23 | 杭州兆华电子股份有限公司 | Non-contact-based partial discharge detection method and device |
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Application publication date: 20200710 |