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Transformer discharge fault diagnosis method and system based on sound detection

A fault diagnosis and transformer technology, applied in the direction of measuring electricity, measuring electrical variables, testing dielectric strength, etc., can solve problems such as less information, low measurement frequency, slow response, etc.

Pending Publication Date: 2021-07-06
POWER RES INST OF STATE GRID SHAANXI ELECTRIC POWER CO LTD +2
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Problems solved by technology

Among them, the dissolved gas analysis method or the oil gas analysis method monitors the partial discharge state of the transformer through the oil and gas composition. However, this method responds slowly, is not sensitive to faults, and the data changes are unstable. intensity
In addition, although the pulse current method is currently the only partial discharge detection method with international standards, due to its low measurement frequency, narrow frequency band, less information and weak anti-interference ability, it is mostly used for factory testing at this stage

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  • Transformer discharge fault diagnosis method and system based on sound detection
  • Transformer discharge fault diagnosis method and system based on sound detection
  • Transformer discharge fault diagnosis method and system based on sound detection

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no. 1 example

[0053] Please refer to figure 1 , the present embodiment provides a method for diagnosing transformer discharge faults based on acoustic detection, the method comprising the following steps:

[0054] S11: Collect the acoustic wave signal during the operation of the power transformer.

[0055] Specifically, an adaptive acoustic wave sensor may be used to collect broadband acoustic wave signals corresponding to partial discharges during the operation of the power transformer.

[0056] S12: Extracting the characteristic quantity of the discharge fault in the acoustic wave signal.

[0057] Among them, the Empirical Mode Decomposition algorithm (EMD) can be used to extract a variety of discharge fault feature quantities used to describe the type of discharge fault of the power transformer from the acoustic wave signal. Specifically, first, the empirical mode decomposition algorithm is used to decompose the acoustic wave signal, and the intrinsic mode function component is extract...

no. 2 example

[0074] Please refer to figure 2 , the present embodiment provides a method for diagnosing transformer discharge faults based on acoustic detection, the method comprising the following steps:

[0075] S21: Collect the sound wave signal during the operation of the power transformer.

[0076] Specifically, an adaptive acoustic wave sensor may be used to collect broadband acoustic wave signals corresponding to partial discharges during the operation of the power transformer.

[0077] S22: Extracting discharge fault feature quantities in the acoustic wave signal.

[0078] Among them, the Empirical Mode Decomposition algorithm (EMD) can be used to extract a variety of discharge fault feature quantities used to describe the type of discharge fault of the power transformer from the acoustic wave signal. Specifically, first, the empirical mode decomposition algorithm is used to decompose the acoustic wave signal, and the intrinsic mode function component is extracted; secondly, the ...

no. 3 example

[0098] see image 3 , the present embodiment provides a transformer discharge fault diagnosis system 10 based on acoustic detection, which includes an acquisition module 11 , an extraction module 12 , a dimensionality reduction fusion module 13 , a fault analysis module 14 and a diagnosis module 15 connected in sequence.

[0099] Wherein, the acquisition module 11 can use an adaptive broadband acoustic wave sensor, and the acquisition module 11 is used to acquire the acoustic wave signal during the operation of the power transformer. The extraction module 12 is used for extracting the characteristic quantity of the discharge fault in the acoustic wave signal. The dimension reduction fusion module 13 is used to reduce the dimension of the discharge fault feature quantity to form a multi-feature fusion vector. The fault analysis module 14 is used to analyze and predict the multi-feature fusion vector by using the fault classifier, and obtain the fault state analysis result of t...

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Abstract

The embodiment of the invention provides a transformer discharge fault diagnosis method and system based on sound detection, and relates to the technical field of power equipment detection. The method comprises the following steps: collecting a sound wave signal in the operation process of the power transformer; extracting a discharge fault characteristic quantity in the sound wave signal; reducing the dimensionality of the discharge fault feature quantity to form a multi-feature fusion vector; analyzing and predicting the multi-feature fusion vector by adopting a fault classifier to obtain a fault state analysis result of the power transformer; and according to the fault state analysis result, realizing diagnosis of the discharge fault of the power transformer. The method and the system provided by the invention are simple and easy to implement, can well diagnose the discharge fault of the power transformer in real time, are convenient to manage, and have a better engineering application prospect.

Description

technical field [0001] The invention relates to the technical field of power equipment detection, in particular to a method and system for diagnosing transformer discharge faults based on acoustic detection. Background technique [0002] The power transformer is one of the important equipment for the safe and stable operation of the substation. The reliability of its operating status is of great significance to the safe and stable operation of the substation and even the power system. Once the power transformer fails to work normally due to a sudden failure, it may cause a large-scale power outage and cause economic losses that cannot be underestimated to the people's production and life. On the contrary, if the precursors of failures can be found in advance, and maintenance and repairs can be carried out in a planned way, the possible economic losses and social impacts can be avoided to a large extent. [0003] Studies have shown that if the insulation defects of power tra...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/12
CPCG01R31/1209G01R31/1227
Inventor 张炜范斌涛郑天文代晓辉潘磊张喆
Owner POWER RES INST OF STATE GRID SHAANXI ELECTRIC POWER CO LTD
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