Urban medium-voltage distribution cable partial discharge signal denoising method

A technology for power distribution cables and discharge signals, which is used in computer parts, instruments, calculations, etc. to improve algorithm efficiency, reduce frequency band division, and achieve good denoising effects.

Active Publication Date: 2022-05-13
STATE GRID JIANGSU ELECTRIC POWER CO LTD SUQIAN POWER SUPPLY BRANCH
View PDF9 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to overcome the existing technical difficulties and provide a method for denoising the partial discharge signal of urban medium-voltage distribution cables, which can simultaneously perform self-adaptive denoising on white noise and periodic narrow-band interference

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Urban medium-voltage distribution cable partial discharge signal denoising method
  • Urban medium-voltage distribution cable partial discharge signal denoising method
  • Urban medium-voltage distribution cable partial discharge signal denoising method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0071] The present invention will be further explained below in conjunction with the accompanying drawings and specific embodiments.

[0072] like figure 1 As shown, the present invention proposes a method for denoising medium-voltage distribution cable partial discharge signals based on spectral clustering and improved empirical wavelet transform, including the following steps:

[0073] 1) Use the K-means algorithm to divide the spectrum of the partial discharge signal into two categories, and remove the frequency of narrow-band interference.

[0074] Firstly, Fourier transform is performed on the noise-contaminated PD signal to obtain its spectrum diagram. Compared with PD signal and white noise, periodic narrow-band interference has a higher spectral density, and the K-means clustering algorithm is used to analyze the Cluster analysis of the signal spectrum. Select the spectral magnitude m 1 and the standard deviation m of adjacent frequency amplitudes 2 As the characte...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an urban medium-voltage distribution cable partial discharge signal denoising method. In order to suppress periodic narrowband interference, a K-means clustering algorithm is used to classify noisy partial discharge signal spectrums. In order to suppress white noise interference, an improved empirical Wavelet Transform (EWT) algorithm based on an Order Statistic Filter (OSF) is provided, and the method comprises the following steps: firstly, estimating an envelope line on a signal frequency spectrum by using the OSF, reasonably segmenting the signal frequency spectrum, then, carrying out adaptive decomposition on a signal by using the EWT, introducing a kurtosis criterion to select a useful modal component, and finally, carrying out adaptive decomposition on the signal by using the EWT. And finally, reconstructing a partial discharge signal through threshold denoising. In combination with the K-means clustering algorithm and the empirical wavelet transform, the method provided by the invention does not need to modify algorithm parameters, can perform adaptive denoising on white noise and periodic narrow-band interference at the same time, can effectively reserve signal details while having a high denoising signal-to-noise ratio, and is relatively high in algorithm efficiency.

Description

technical field [0001] The invention relates to the field of electric equipment fault diagnosis and identification technology and partial discharge technology, in particular to a method for denoising the partial discharge signal of urban medium-voltage power distribution cables. Background technique [0002] With the continuous development of urban medium-voltage distribution networks, medium-voltage distribution cables are widely used. When a line fault occurs in an urban power distribution cable, because the cable line is mostly laid underground and has a complex structure, it is impossible to visually see the fault location and find the cause of the fault, which will be more difficult to troubleshoot than the overhead line. [0003] Insulation defects have a greater impact on the safe operation of distribution network equipment. Statistics show that partial discharge is the main cause of insulation defects, and it is also an important symptom and manifestation of insulat...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06F2218/06G06F2218/08G06F2218/12G06F18/23213Y04S10/52
Inventor 邱冬刘刚王德陈莎陈晨韩少华王秀茹
Owner STATE GRID JIANGSU ELECTRIC POWER CO LTD SUQIAN POWER SUPPLY BRANCH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products