CN114659620A - Acoustic signal extraction method and system of circuit breaker - Google Patents
Acoustic signal extraction method and system of circuit breaker Download PDFInfo
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Abstract
The invention relates to the technical field of circuit breakers and discloses a method and a system for extracting acoustic signals of a circuit breaker.
Description
Technical Field
The invention relates to the technical field of circuit breakers, in particular to an acoustic signal extraction method and system of a circuit breaker.
Background
The high-voltage circuit breaker is a mechanical structure playing a key role in a power system, and bears the safety protection task of the whole power system, so that the monitoring of the state of the circuit breaker is particularly important. The high-voltage circuit breaker has complex operation field environment and more random interference, and particularly has strong random interference on the acoustic signals, so that the integration operation method with fixed basis functions, such as short-time Fourier analysis, Wigner-Ville distribution, wavelet analysis and the like, is difficult to apply.
Disclosure of Invention
The invention provides an acoustic signal extraction method and system of a circuit breaker, and solves the technical problems that extracted acoustic signals are easy to be doped with interference signals, and the extraction accuracy of the acoustic signals is reduced.
In view of the above, a first aspect of the present invention provides an acoustic signal extraction method for a circuit breaker, including the steps of:
acquiring a sound pulse signal generated by the circuit breaker to be tested when the circuit breaker is switched on and switched off;
denoising the sound pulse signal based on a wavelet packet threshold denoising algorithm to obtain a denoised sound pulse signal;
carrying out Fourier transform on the denoised sound pulse signal to obtain a frequency spectrum sequence;
performing waveform fitting on the frequency spectrum sequence to obtain a frequency spectrum fitting waveform;
carrying out phase interception on the frequency spectrum fitting waveform to obtain a frequency spectrum fitting waveform meeting a preset amplitude interval;
and performing signal reconstruction on the intercepted spectrum fitting waveform based on a signal reconstruction algorithm to obtain a reconstructed sound pulse signal.
Preferably, the step of acquiring the sound pulse signal generated by the circuit breaker to be tested during switching on and switching off specifically includes:
constructing a sound sensing matrix by using a plurality of sound sensors by taking the circuit breaker to be tested as a center;
acquiring sound pulse signals generated when the circuit breaker to be tested is switched on and switched off through the sound sensors;
and calculating the similarity between the sound pulse signals respectively corresponding to the sound sensors and a preset sound standard pulse signal to determine the sound pulse signal with the highest similarity.
Preferably, the step of performing phase clipping on the spectrum fitting waveform to obtain a spectrum fitting waveform meeting a preset amplitude interval specifically includes:
judging whether the amplitude of the frequency spectrum fitting waveform is within the preset amplitude interval or not, and eliminating phases which exceed the preset amplitude interval and correspond to the phase;
and connecting two adjacent end points of the frequency spectrum fitting waveform corresponding to the eliminated phase by adopting a straight line.
In a second aspect, the present invention also provides an acoustic signal extraction system for a circuit breaker, comprising:
the acquisition module is used for acquiring a sound pulse signal generated by the circuit breaker to be tested when the circuit breaker is switched on and switched off;
the de-noising module is used for de-noising the sound pulse signal based on a wavelet packet threshold de-noising algorithm to obtain a de-noised sound pulse signal;
the Fourier module is used for carrying out Fourier transform on the denoised sound pulse signal to obtain a frequency spectrum sequence;
the fitting module is used for performing waveform fitting on the frequency spectrum sequence to obtain a frequency spectrum fitting waveform;
the phase intercepting module is used for intercepting the phase of the frequency spectrum fitting waveform to obtain the frequency spectrum fitting waveform meeting the preset amplitude interval;
and the signal reconstruction module is used for performing signal reconstruction on the intercepted frequency spectrum fitting waveform based on a signal reconstruction algorithm to obtain a reconstructed sound pulse signal.
Preferably, the obtaining module specifically includes:
the matrix construction module is used for constructing a sound sensing matrix by using a plurality of sound sensors by taking the circuit breaker to be tested as a center;
the sound acquisition module is used for acquiring sound pulse signals generated when the circuit breaker to be tested is switched on and switched off through the sound sensors;
and the calculation module is used for calculating the similarity between the sound pulse signals respectively corresponding to the sound sensors and a preset sound standard pulse signal so as to determine the sound pulse signal with the highest similarity.
Preferably, the phase-cutting module specifically includes:
the judging module is used for judging whether the amplitude of the frequency spectrum fitting waveform is within the preset amplitude interval or not and eliminating the phase position corresponding to the amplitude exceeding the preset amplitude interval;
and the processing module is used for connecting two adjacent end points of the frequency spectrum fitting waveform corresponding to the eliminated phase by adopting a straight line.
In a third aspect, the present invention also provides an electronic device, which includes a memory and a processor, where the memory stores a computer program, and the processor implements the steps of the method when executing the computer program.
In a fourth aspect, the invention also provides a computer-readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the method as described above.
According to the technical scheme, the invention has the following advantages:
according to the method, after noise filtration is carried out on the sound pulse signals generated when the circuit breaker to be tested is switched on and switched off, Fourier transformation is carried out on the denoised sound pulse signals to obtain a frequency spectrum sequence, waveform fitting is carried out on the frequency spectrum sequence to obtain a frequency spectrum fitting waveform, phase interception is carried out on the frequency spectrum fitting waveform to obtain a frequency spectrum fitting waveform meeting a preset amplitude interval, so that interference of sudden change noise on the waveform is filtered, signal reconstruction is carried out on the intercepted frequency spectrum fitting waveform based on a signal reconstruction algorithm to obtain a reconstructed sound pulse signal, therefore, interference signals are reduced, and accuracy of extracting the sound signals generated when the circuit breaker is switched on and switched off is improved.
Drawings
Fig. 1 is a flowchart of an acoustic signal extraction method for a circuit breaker according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an acoustic signal extraction system of a circuit breaker according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
For easy understanding, referring to fig. 1, the method for extracting an acoustic signal of a circuit breaker according to the present invention includes the following steps:
s1, acquiring a sound pulse signal generated when the circuit breaker to be tested is switched on and switched off;
s2, denoising the sound pulse signal based on a wavelet packet threshold denoising algorithm to obtain a denoised sound pulse signal;
the wavelet packet threshold denoising algorithm adopts the prior art, and is not described herein again.
S3, carrying out Fourier transform on the denoised sound pulse signal to obtain a frequency spectrum sequence;
s4, performing waveform fitting on the frequency spectrum sequence to obtain a frequency spectrum fitting waveform;
s5, carrying out phase interception on the frequency spectrum fitting waveform to obtain a frequency spectrum fitting waveform meeting the preset amplitude interval;
it should be noted that, according to historical experience, the amplitude of the spectrum fitting waveform should be within a certain range, and due to unstable noise (such as siren sound, thunderstorm sound, etc.), the sudden sound may affect the amplitude of the spectrum fitting waveform, so as to increase the amplitude of the spectrum fitting waveform, and therefore, it is necessary to eliminate the phase corresponding to the waveform exceeding the preset amplitude range, so as to obtain the spectrum fitting waveform satisfying the reasonable amplitude range, so as to improve the accuracy of the sound pulse signal.
And S6, performing signal reconstruction on the intercepted spectrum fitting waveform based on a signal reconstruction algorithm to obtain a reconstructed sound pulse signal.
The signal reconstruction algorithm may adopt a sparse signal reconstruction algorithm for reconstruction.
The method for extracting the acoustic signal of the circuit breaker includes the steps of performing noise filtering on an acoustic pulse signal generated when the circuit breaker to be detected is switched on and off, performing fourier transform on the denoised acoustic pulse signal to obtain a frequency spectrum sequence, performing waveform fitting on the frequency spectrum sequence to obtain a frequency spectrum fitting waveform, performing phase interception on the frequency spectrum fitting waveform to obtain a frequency spectrum fitting waveform meeting a preset amplitude interval, so that interference of sudden change noise on the waveform is filtered, performing signal reconstruction on the intercepted frequency spectrum fitting waveform based on a signal reconstruction algorithm to obtain a reconstructed acoustic pulse signal, reducing interference signals, and improving accuracy of extracting the acoustic signal generated when the circuit breaker is switched on and off.
In a specific embodiment, step S1 specifically includes:
s101, taking a circuit breaker to be tested as a center, and constructing a sound sensing matrix by utilizing a plurality of sound sensors;
s102, acquiring sound pulse signals generated when the circuit breaker to be tested is switched on and switched off through a plurality of sound sensors;
s103, calculating the similarity between the sound pulse signals respectively corresponding to the plurality of sound sensors and a preset sound standard pulse signal to determine the sound pulse signal with the highest similarity.
It can be understood that a sound sensing matrix is constructed by taking a circuit breaker to be tested as a center through a plurality of sound sensors, wherein the distance between each sound sensor and the circuit breaker to be tested is equal, so that the sound sensors can acquire sound pulse signals generated by the circuit breaker to be tested when the circuit breaker is switched on and switched off from different angles, the sound pulse signals respectively corresponding to the sound sensors and a preset sound standard pulse signal are subjected to similarity calculation, the obtained sound pulse signal with the highest similarity is the most accurate signal, meanwhile, the preset sound standard pulse signal can be historical data, and the best sound pulse signal is selected as the sound standard pulse signal according to the historical data.
In a specific embodiment, step S5 specifically includes:
s501, judging whether the amplitude of the frequency spectrum fitting waveform is in a preset amplitude interval or not, and eliminating phases corresponding to the amplitude exceeding the preset amplitude interval;
and S502, connecting two adjacent end points of the frequency spectrum fitting waveform corresponding to the eliminated phase by adopting a straight line.
It can be understood that after the phase corresponding to the amplitude interval exceeding the preset amplitude interval is removed, the waveform corresponding to the phase is empty, and for the purpose of subsequently reconstructing signals, two adjacent end points of the spectrum fitting waveform corresponding to the removed phase are connected by adopting a straight line, so that the waveform of the corresponding phase is not empty.
The above is a detailed description of an embodiment of an acoustic signal extraction method for a circuit breaker according to the present invention, and the following is a detailed description of an embodiment of an acoustic signal extraction system for a circuit breaker according to the present invention.
For convenience of understanding, referring to fig. 2, the present invention provides an acoustic signal extraction system for a circuit breaker, including:
the acquisition module 10 is used for acquiring a sound pulse signal generated by the circuit breaker to be tested when the circuit breaker is switched on and off;
the denoising module 11 is configured to denoise the sound pulse signal based on a wavelet packet threshold denoising algorithm to obtain a denoised sound pulse signal;
the fourier module 12 is configured to perform fourier transform on the denoised sound pulse signal to obtain a frequency spectrum sequence;
the fitting module 13 is configured to perform waveform fitting on the frequency spectrum sequence to obtain a frequency spectrum fitting waveform;
the phase intercepting module 14 is configured to perform phase intercepting on the spectrum fitting waveform to obtain a spectrum fitting waveform meeting a preset amplitude interval;
and the signal reconstruction module 15 is configured to perform signal reconstruction on the intercepted spectrum fitting waveform based on a signal reconstruction algorithm to obtain a reconstructed sound pulse signal.
In a specific embodiment, the obtaining module specifically includes:
the matrix construction module is used for constructing a sound sensing matrix by using a plurality of sound sensors by taking the circuit breaker to be tested as a center;
the sound acquisition module is used for acquiring sound pulse signals generated by the circuit breaker to be tested during opening and closing through a plurality of sound sensors;
and the calculation module is used for calculating the similarity between the sound pulse signals respectively corresponding to the sound sensors and a preset sound standard pulse signal so as to determine the sound pulse signal with the highest similarity.
In a specific embodiment, the phase-clipping module specifically includes:
the judging module is used for judging whether the amplitude of the frequency spectrum fitting waveform is within a preset amplitude interval or not and eliminating the phase corresponding to the amplitude exceeding the preset amplitude interval;
and the processing module is used for connecting two adjacent end points of the frequency spectrum fitting waveform corresponding to the eliminated phase by adopting a straight line.
The invention also provides an electronic device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method when executing the computer program.
The invention also provides a computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method as described above.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for executing all or part of the steps of the method according to the embodiments of the present invention through a computer device (which may be a personal computer, a server, or a network device). And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (8)
1. A method for extracting an acoustic signal of a circuit breaker is characterized by comprising the following steps:
acquiring a sound pulse signal generated by the circuit breaker to be tested when the circuit breaker is switched on and switched off;
denoising the sound pulse signal based on a wavelet packet threshold denoising algorithm to obtain a denoised sound pulse signal;
carrying out Fourier transform on the denoised sound pulse signal to obtain a frequency spectrum sequence;
performing waveform fitting on the frequency spectrum sequence to obtain a frequency spectrum fitting waveform;
carrying out phase interception on the frequency spectrum fitting waveform to obtain a frequency spectrum fitting waveform meeting the preset amplitude interval;
and performing signal reconstruction on the intercepted spectrum fitting waveform based on a signal reconstruction algorithm to obtain a reconstructed sound pulse signal.
2. The method for extracting the acoustic signal of the circuit breaker according to claim 1, wherein the step of acquiring the acoustic pulse signal generated by the circuit breaker to be tested during switching on and switching off specifically comprises:
constructing a sound sensing matrix by using a plurality of sound sensors by taking the circuit breaker to be tested as a center;
acquiring sound pulse signals generated by the circuit breaker to be tested during opening and closing through a plurality of sound sensors;
and calculating the similarity between the sound pulse signals respectively corresponding to the sound sensors and a preset sound standard pulse signal to determine the sound pulse signal with the highest similarity.
3. The method for extracting acoustic signals of a circuit breaker according to claim 1, wherein the step of performing phase truncation on the spectrum fitting waveform to obtain a spectrum fitting waveform satisfying a preset amplitude interval specifically comprises:
judging whether the amplitude of the frequency spectrum fitting waveform is within the preset amplitude interval or not, and eliminating phases which exceed the preset amplitude interval and correspond to the phase;
and connecting two adjacent end points of the frequency spectrum fitting waveform corresponding to the eliminated phase by adopting a straight line.
4. An acoustic signal extraction system for a circuit breaker, comprising:
the acquisition module is used for acquiring a sound pulse signal generated by the circuit breaker to be tested when the circuit breaker is switched on and switched off;
the de-noising module is used for de-noising the sound pulse signal based on a wavelet packet threshold de-noising algorithm to obtain a de-noised sound pulse signal;
the Fourier module is used for carrying out Fourier transform on the denoised sound pulse signal to obtain a frequency spectrum sequence;
the fitting module is used for performing waveform fitting on the frequency spectrum sequence to obtain a frequency spectrum fitting waveform;
the phase intercepting module is used for intercepting the phase of the frequency spectrum fitting waveform to obtain the frequency spectrum fitting waveform meeting the preset amplitude interval;
and the signal reconstruction module is used for performing signal reconstruction on the intercepted frequency spectrum fitting waveform based on a signal reconstruction algorithm to obtain a reconstructed sound pulse signal.
5. The system for extracting acoustic signals of a circuit breaker according to claim 4, wherein the obtaining module specifically comprises:
the matrix construction module is used for constructing a sound sensing matrix by using a plurality of sound sensors by taking the circuit breaker to be tested as a center;
the sound acquisition module is used for acquiring sound pulse signals generated by the circuit breaker to be tested during opening and closing through the sound sensors;
and the calculation module is used for calculating the similarity between the sound pulse signals respectively corresponding to the sound sensors and a preset sound standard pulse signal so as to determine the sound pulse signal with the highest similarity.
6. The acoustic signal extraction system of a circuit breaker according to claim 1, wherein the phase intercept module specifically comprises:
the judging module is used for judging whether the amplitude of the frequency spectrum fitting waveform is within the preset amplitude interval or not and eliminating the phase position corresponding to the amplitude exceeding the preset amplitude interval;
and the processing module is used for connecting two adjacent end points of the frequency spectrum fitting waveform corresponding to the eliminated phase by adopting a straight line.
7. An electronic device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor realizes the steps of the method of any of claims 1 to 3 when executing the computer program.
8. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 3.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115641992A (en) * | 2022-11-15 | 2023-01-24 | 江苏华能电缆股份有限公司 | Load-bearing detection cable and logging system |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101447676A (en) * | 2008-12-01 | 2009-06-03 | 中国电力科学研究院 | Low-frequency oscillation analysis method for power system |
| CN104089699A (en) * | 2014-06-20 | 2014-10-08 | 国家电网公司 | Substation equipment sound reconstruction algorithm |
| US20180149699A1 (en) * | 2015-04-29 | 2018-05-31 | Nr Electric Co., Ltd | Method and apparatus for identifying open phase of circuit breaker on basis of voltage |
| CN108830128A (en) * | 2018-03-28 | 2018-11-16 | 中南大学 | The low-frequency oscillation of electric power system modal identification method decomposed based on noise-like signal VMD |
| CN110174612A (en) * | 2019-06-10 | 2019-08-27 | 珠海东帆科技有限公司 | Low-voltage circuit breaker fault early-warning detection method |
| CN110376455A (en) * | 2019-06-26 | 2019-10-25 | 深圳供电局有限公司 | Transformer working state detecting method, device, computer equipment and storage medium |
| CN112863536A (en) * | 2020-12-24 | 2021-05-28 | 深圳供电局有限公司 | Environmental noise extraction method and device, computer equipment and storage medium |
| CN114038470A (en) * | 2021-10-28 | 2022-02-11 | 国家电网有限公司大数据中心 | Method, device, equipment and medium for extracting voiceprint features of transformer signals |
| CN114047438A (en) * | 2021-11-12 | 2022-02-15 | 中国南方电网有限责任公司超高压输电公司广州局 | State identification method, system and device for circuit breaker operating mechanism and electronic equipment |
-
2022
- 2022-03-28 CN CN202210312534.2A patent/CN114659620B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101447676A (en) * | 2008-12-01 | 2009-06-03 | 中国电力科学研究院 | Low-frequency oscillation analysis method for power system |
| CN104089699A (en) * | 2014-06-20 | 2014-10-08 | 国家电网公司 | Substation equipment sound reconstruction algorithm |
| US20180149699A1 (en) * | 2015-04-29 | 2018-05-31 | Nr Electric Co., Ltd | Method and apparatus for identifying open phase of circuit breaker on basis of voltage |
| CN108830128A (en) * | 2018-03-28 | 2018-11-16 | 中南大学 | The low-frequency oscillation of electric power system modal identification method decomposed based on noise-like signal VMD |
| CN110174612A (en) * | 2019-06-10 | 2019-08-27 | 珠海东帆科技有限公司 | Low-voltage circuit breaker fault early-warning detection method |
| CN110376455A (en) * | 2019-06-26 | 2019-10-25 | 深圳供电局有限公司 | Transformer working state detecting method, device, computer equipment and storage medium |
| CN112863536A (en) * | 2020-12-24 | 2021-05-28 | 深圳供电局有限公司 | Environmental noise extraction method and device, computer equipment and storage medium |
| CN114038470A (en) * | 2021-10-28 | 2022-02-11 | 国家电网有限公司大数据中心 | Method, device, equipment and medium for extracting voiceprint features of transformer signals |
| CN114047438A (en) * | 2021-11-12 | 2022-02-15 | 中国南方电网有限责任公司超高压输电公司广州局 | State identification method, system and device for circuit breaker operating mechanism and electronic equipment |
Non-Patent Citations (1)
| Title |
|---|
| 关永刚等: "高压断路器机械故障诊断方法综述", 高压电器, vol. 54, no. 7, pages 10 - 13 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115641992A (en) * | 2022-11-15 | 2023-01-24 | 江苏华能电缆股份有限公司 | Load-bearing detection cable and logging system |
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