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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 3/2019

12.08.2019

A Noise Reduction Based Wavelet Denoising System for Partial Discharge Signal

verfasst von: Muhammad Irfan Sharif, Jian Ping Li, Abida Sharif

Erschienen in: Wireless Personal Communications | Ausgabe 3/2019

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Abstract

Partial Discharge (PD) checking is a standout amongst the best technique for insulation condition evaluation of HV power system. PD releases inside a power transformer energize electromagnetic transients that can be identified utilizing sensors working in the ultra-high frequency band. Despite, on-line PD estimations are influenced by elevated amounts of electromagnetic interference that makes delicate PD identification exceptionally troublesome. In our proposed research present an approach which can reduce the noise level. Increase the quality of the PD signal. Here using an approximation logic which can reduce the complexity in terms of time and able to improve the quality. The proposed Double DWT able to get batter result as compares to existing PD techniques.
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Metadaten
Titel
A Noise Reduction Based Wavelet Denoising System for Partial Discharge Signal
verfasst von
Muhammad Irfan Sharif
Jian Ping Li
Abida Sharif
Publikationsdatum
12.08.2019
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 3/2019
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-019-06471-2

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