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Partial discharge electromagnetic wave signal energy feature extraction method

A technology of electromagnetic wave signal and partial discharge, which is applied in the identification of partial discharge type of power equipment and the field of energy feature extraction of partial discharge electromagnetic wave signal, so as to reduce redundant parameters and improve the effect of feature extraction

Inactive Publication Date: 2016-10-12
XIAN XIRE ENERGY SAVING TECH
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Problems solved by technology

[0006] The purpose of the present invention is to solve the problem of more effectively extracting the energy characteristics of the partial discharge electromagnetic wave that can identify the type of partial discharge, provide a method for extracting the energy characteristics of the partial discharge electromagnetic wave signal, and verify the effectiveness of the characteristic parameters in the identification of the partial discharge type sex

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  • Partial discharge electromagnetic wave signal energy feature extraction method
  • Partial discharge electromagnetic wave signal energy feature extraction method
  • Partial discharge electromagnetic wave signal energy feature extraction method

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Embodiment Construction

[0042] The basic idea of ​​the present invention is to use the fusion of wavelet packet decomposition and singular value decomposition to realize the effective extraction of partial discharge electromagnetic wave energy signals. The specific process is as follows:

[0043] 1) To collect partial discharge ultra-high frequency signals, the bandwidth of the oscilloscope used is 100MHz-3GHz, and the sampling rate is 5GS / s. The sensor used is a microstrip antenna sensor with a bandwidth of 100MHz-6000MHz;

[0044] 2) Carry out 8-layer wavelet decomposition on UHF signal samples of different partial discharge types, the mother wavelets used in wavelet packet decomposition are 'db2', 'db4', 'db8', and the number of wavelet packet decomposition layers is 8-10 layers;

[0045] 3) Find the energy of each node in the wavelet decomposition tree of each signal to form the energy vector of the signal;

[0046] Calculate the energy of each wavelet packet node as

[0047] ...

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Abstract

The invention discloses a partial discharge electromagnetic wave signal energy feature extraction method, and belongs to the technical field of power equipment partial discharge detection. According to the method, a partial discharge electromagnetic wave signal is decomposed through wavelet packet decomposition, the energy information of the partial discharge electromagnetic wave signal is calculated, and energy features are extracted from the energy information through singular value decomposition for partial discharge recognition. According to the invention, wavelet packet decomposition and singular value decomposition are integrated for the first time in the field of power equipment partial discharge detection, a partial discharge electromagnetic wave signal energy feature extraction method based on wavelet packet decomposition and singular value decomposition is put forward, and the method has the advantage that partial discharge electromagnetic wave energy features can be extracted effectively, and can be used for partial discharge type recognition.

Description

Technical field: [0001] The invention belongs to the technical field of partial discharge detection of electric power equipment, and in particular relates to a method for extracting energy features of partial discharge electromagnetic wave signals, which is used for identifying the type of partial discharge of electric power equipment. Background technique: [0002] The insulating material of power equipment is an important component to ensure the normal operation of power equipment, but due to the aging of the insulating material under the action of a strong electric field or the processing defect of the insulating material, partial discharge will occur inside the insulating material during the operation of the power equipment, and the development of partial discharge will be accelerated. The aging of insulating materials will shorten the life of power equipment, so it is necessary to detect and identify the type of partial discharge as early as possible, and take measures t...

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Application Information

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IPC IPC(8): G01R31/12
CPCG01R31/1263
Inventor 赵煦兀鹏越柴琦冯仰敏
Owner XIAN XIRE ENERGY SAVING TECH
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