Comparative Analysis of Partial Discharge Denoising Techniques

Comparative Analysis of Partial Discharge Denoising Techniques

The Partial Discharge (PD) analysis is a very effective way of verifying the electrical insulation condition. However, PD measurements may suffer from high noise levels, which demands an efficient denoising technique. This article presents a performance analysis of three denoising methods for PD pro...

Full description

Saved in:
Bibliographic Details
Published in:2021 IEEE Electrical Insulation Conference (EIC) pp. 678 - 681
Main Authors: de O. Andrade, Gabriel, Avelar, Andre S. O., de O. Mota, Hilton
Format: Conference Proceeding
Language:English
Published: IEEE 07-06-2021
Subjects:
Conferences
Insulation
Morphological Component Analysis
Noise reduction
Partial Discharge
Partial discharge measurement
Partial discharges
Signal Denoising
Signal processing
Transforms
Wavelet Transform
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The Partial Discharge (PD) analysis is a very effective way of verifying the electrical insulation condition. However, PD measurements may suffer from high noise levels, which demands an efficient denoising technique. This article presents a performance analysis of three denoising methods for PD processing. The performances were evaluated by numerical parameters considering synthetic and measured PD signals. The results were conclusive and it was possible to state that the highest performance was achieved by the Morphological Component Analysis.
ISSN:2576-6791
DOI:10.1109/EIC49891.2021.9612387