Optimized Denoising Method for Weak Acoustic Emission Signal in Partial Discharge Detection

Acoustic emission (AE) technology can predict the occurrence of partial discharge (PD) faults, which is used to improve the safe operation level of gas-insulated switchgear (GIS) equipment. However, the strong noise interference from the production site is still the main factor affecting the identif...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on dielectrics and electrical insulation 2022-08, Vol.29 (4), p.1409-1416
Main Authors: Lin, Qingcheng, Lyu, Fuyong, Yu, Shiqi, Xiao, Hui, Li, Xuefeng
Format: Article
Language:English
Subjects:
Accumulation
Acoustic emission
Denoising
Discharge
Gas insulation
gas-insulated switchgear (GIS)
Insulation
Interference
Metal particles
Noise reduction
Oscillators
partial discharge (PD)
Partial discharges
pattern recognition
Signal to noise ratio
Switchgear
Wavelet analysis
wavelet threshold function
White noise
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Acoustic emission (AE) technology can predict the occurrence of partial discharge (PD) faults, which is used to improve the safe operation level of gas-insulated switchgear (GIS) equipment. However, the strong noise interference from the production site is still the main factor affecting the identification accuracy. In this study, a simplified model is designed to approximate the accumulation of free metal particles on the surface of the GIS internal insulation structure, and white noise of various intensities is added to the collected PD-induced AE signals to simulate the background interference. The results prove that the proposed denoising method can achieve a better denoising effect in various signal-to-noise ratio (SNR) conditions. In particular, in the case of low SNR, the recognition accuracy of the accumulation degree of metal particles has been improved by more than 15%.
ISSN:1070-9878
1558-4135
DOI:10.1109/TDEI.2022.3183662