Partial discharge type identification method based on synchrosqueezing wavelet transform

A technology of synchronous squeezing wavelet and type identification, which is applied in the direction of measuring electricity, measuring electrical variables, and testing dielectric strength, etc., and can solve problems such as unfavorable classification and identification, sub-band spectral aliasing, and energy leakage.

Inactive Publication Date: 2018-12-11
WUHAN UNIV OF SCI & TECH
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Problems solved by technology

However, since the wavelet transform only further decomposes the low frequency part, the frequency resolution of the high frequency part is poor
After the PD signal is decomposed by wavelet transform, there are interlaced frequency bands in the amplitude-frequency response curve, and there are often serious

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  • Partial discharge type identification method based on synchrosqueezing wavelet transform
  • Partial discharge type identification method based on synchrosqueezing wavelet transform
  • Partial discharge type identification method based on synchrosqueezing wavelet transform

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Embodiment Construction

[0058] The specific implementation manners of the present invention will be described below in conjunction with the accompanying drawings.

[0059] Step 1. Decompose 4 typical partial discharge signals of transformers by using synchrosqueezing wavelet transform. Using synchrosqueezing wavelet transform SWT can divide the time-frequency plane accurately and meticulously, and decompose the obtained sub-band signals

[0060] The time-varying signal f(t) can generally be decomposed into a superposition of multiple eigenfunctions, that is, the signal f(t) can be expressed as

[0061]

[0062] In the formula: A k (t) is the instantaneous amplitude of the kth component; A k (t) is the instantaneous amplitude of the kth component, φ k (t) is the instantaneous phase of the kth component; r(t) is noise or error, and K represents the number of components of the signal. The synchro-squeezing wavelet transform effectively extracts the amplitude factor A of each component by refining ...

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Abstract

The invention provides a partial discharge type identification method based on synchrosqueezing wavelet transform, and aims to provide an identification method for the partial discharge signal of a transformer to realize the identification of the partial discharge signal of the transformer. The method comprises first, decomposing the typical partial discharge signal of the transformer by using thesynchrosqueezing wavelet transform; then, using a multi-scale permutation entropy as a feature quantity of the discharge type identification by using the energy and complexity difference of the partial discharge signal at different decomposition scales; and finally, identifying a discharge type by using a support vector machine classifier based on the extracted feature quantity. The method can achieve average partial discharge signal identification accuracy higher than 90%, and is obviously superior to other commonly used transformer partial discharge identification methods.

Description

technical field [0001] The invention relates to a partial discharge type identification method based on synchronous squeeze wavelet transform and the field of power system signal processing. Background technique [0002] The power transformer is one of the most critical equipment in the power system, and its safety performance affects the safe and effective operation of the power grid. Partial Discharge (PD) is the main cause of insulation damage to large high-voltage equipment such as power transformers, and different types of partial discharge have different degrees of insulation damage, and their formation mechanisms are also different. Therefore, quickly and accurately identifying different transformer partial discharge types not only provides a solid and powerful basis for subsequent fault location identification, but also has important guiding significance for maintaining the stable and effective operation of the power system. [0003] At present, the methods for dete...

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Application Information

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IPC IPC(8): G01R31/12
CPCG01R31/1227
Inventor 王文波晋云雨狄奇赵彦超
Owner WUHAN UNIV OF SCI & TECH
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