Partial discharge signal time estimation method based on singular value decomposition and improved wavelet packet

A singular value decomposition and discharge signal technology, applied in calculation, measurement of electricity, measurement of electrical variables, etc., can solve the problems of partial discharge signal annihilation, difficult positioning and pattern recognition

Pending Publication Date: 2021-08-20
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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Problems solved by technology

[0003] However, various types of noise are often accompanied by various types of noise in actual production, which makes the partial discharge signal be buried in it, making it difficult to realize positioning and pattern recognition

Method used

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  • Partial discharge signal time estimation method based on singular value decomposition and improved wavelet packet
  • Partial discharge signal time estimation method based on singular value decomposition and improved wavelet packet
  • Partial discharge signal time estimation method based on singular value decomposition and improved wavelet packet

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Embodiment

[0087] The present invention relates to a partial discharge signal extraction and start time estimation method based on singular value decomposition and improved wavelet packet, such as figure 1 and figure 2 shown, including the following steps:

[0088] Step 1) Use the UHF sensor to obtain the actual partial discharge UHF signal of GIS containing mixed noise, and construct the corresponding mathematical model;

[0089] GIS partial discharge can be represented by the following four mathematical models:

[0090] Single exponential decay model:

[0091] u 1 (t)=A 1 e -t / τ

[0092] Double exponential decay model:

[0093] u 2 (t)=A 2 (e -1.5t / τ -e -2.5t / τ )

[0094] Single exponential decaying oscillation model:

[0095] u 3 (t)=A 3 e -t / τ cos(2πf c t)

[0096] Double exponential decaying oscillation model:

[0097] u 4 (t)=A 4 (e -1.5t / τ -e -2.5t / τ )cos(2πf c t)

[0098] In the formula: A i (i=1,2,3,4) is the amplitude of PD signal; τ is the attenuatio...

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Abstract

The invention relates to a partial discharge signal time estimation method based on singular value decomposition and an improved wavelet packet. Comprising the following steps: 1) acquiring GIS actual partial discharge ultrahigh-frequency signals containing mixed noise by using an ultrahigh-frequency sensor, and constructing a corresponding mathematical model; 2) constructing the obtained partial discharge signals into a Hankel matrix, and performing singular value decomposition on the matrix; 3) selecting a reasonable singular value threshold value through a support vector machine, filtering narrow-band interference in the actually measured partial discharge signal, and obtaining a partial discharge signal only containing white noise; 4) setting a reasonable number of decomposition layers and a threshold function by using a denoising method based on an improved wavelet packet threshold, and filtering white noise in the partial discharge signal obtained in the step 3) to obtain a relatively pure GIS partial discharge signal; and 5) obtaining the starting time of partial discharge according to the short-time energy change of the denoised GIS signal. According to the method, the partial discharge starting time can be accurately obtained, and the subsequent requirements for positioning and pattern recognition of GIS partial discharge signals are met.

Description

technical field [0001] The present invention relates to a partial discharge signal extraction and start time estimation method based on singular value decomposition and improved wavelet packet, especially relates to partial discharge signal extraction and short-term energy start time based on singular value decomposition and improved wavelet packet decomposition Estimation method. Background technique [0002] Gas-insulated switchgear (GIS) equipment is an important part of the power system. The quality of its insulation performance is related to the safety and stability of the entire power grid, and partial discharge is the main form of degradation of its insulation performance. Therefore, it is very important to accurately identify the type and location of GIS PD. [0003] However, various types of noise are often accompanied in actual production, which makes the partial discharge signal be buried in it, making it difficult to realize positioning and pattern recognition. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06F16/29G01R31/12
CPCG06F16/29G01R31/1254G06F2218/06G06F2218/00G06F2218/12G06F18/2411
Inventor 王向文程华瞻杨俊杰蒋伟郭雪婷
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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