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Wavelet entropy and sparsity-based cable partial discharge signal adaptive wavelet denoising method

A cable partial discharge and wavelet denoising technology, which is applied in the direction of measuring electricity, measuring electrical variables, and testing dielectric strength, etc., can solve the problems of affecting calculation speed and easy loss of useful signals, and achieve the effect of improving performance

Active Publication Date: 2021-02-19
STATE GRID SHAANXI ELECTRIC POWER RES INST +2
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

When the decomposition scale is selected too low, the wavelet coefficients are mainly noise coefficients, and useful signals are easily lost after threshold processing, and when the decomposition scale is selected too large, the calculation speed will be seriously affected

Method used

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  • Wavelet entropy and sparsity-based cable partial discharge signal adaptive wavelet denoising method
  • Wavelet entropy and sparsity-based cable partial discharge signal adaptive wavelet denoising method
  • Wavelet entropy and sparsity-based cable partial discharge signal adaptive wavelet denoising method

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Embodiment Construction

[0059] The following will refer to the attached Figure 1 to Figure 5 (b) Describe in detail specific examples of the present disclosure. Although specific embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0060] It should be noted that certain terms are used in the specification and claims to refer to specific components. Those skilled in the art should understand that they may use different terms to refer to the same component. The specification and claims do not use differences in nouns as a way of distinguishing components, but use differences in functions of components as a criterion for distinguishing. "Includes" or "comprises"...

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Abstract

The invention discloses a wavelet entropy and sparsity-based cable partial discharge signal adaptive wavelet denoising method, which comprises the steps of collecting a to-be-denoised cable partial discharge signal s (n), and establishing a wavelet library; selecting an optimal base wavelet and an optimal decomposition scale for wavelet decomposition of s (n) according to the wavelet entropy and sparsity of s (n); performing wavelet decomposition on s (n), and obtaining an approximation coefficient alpha J and detail coefficients dj at all decomposition scales j; calculating a wavelet threshold thrj of the wavelet coefficient of the jth layer; carrying out threshold quantification processing on the detail coefficient dj of the jth layer, filtering wavelet coefficients with absolute valuessmaller than a wavelet threshold thrj and weakening wavelet coefficients with absolute values larger than the wavelet threshold thrj to obtain a thresholded detail coefficient dj'of the jth layer; andreconstructing the approximation coefficient alpha J and the thresholding detail coefficient dj'by using discrete wavelet inverse transformation to obtain a denoised cable partial discharge signal s(n) '.

Description

technical field [0001] The disclosure belongs to the technical field of cable partial discharge detection, in particular to an adaptive wavelet denoising method for cable partial discharge signals based on wavelet entropy and sparsity. Background technique [0002] On-line detection of partial discharge has become an effective method to evaluate the insulation status of electrical equipment. In the online detection, the electrical equipment is in the live operation state, and the on-site interference is serious. However, the partial discharge signal generated by the insulation defect is usually very weak, and it is easy to be submerged in the serious background noise. . Therefore, the suppression of interference is the key issue in the on-line detection of insulation partial discharge. According to the general order of suppression, interference in partial discharge (PD) on-line detection can be classified into three categories: periodic narrow-band interference, white noise...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G01R31/12
CPCG01R31/1272G06F2218/06
Inventor 孙浩飞翟璐赵学风徐阳段玮蒲路毛辰尚宇琚泽立
Owner STATE GRID SHAANXI ELECTRIC POWER RES INST
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