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Evaluation of Partial Discharge Denoising using Power Spectral Subtraction

Partial discharge (PD) measurement is widely adopted to estimate the condition of insulation quality. The main hurdle in the monitoring of online PD is the extraction of PD signal from excessive noise originating from the surrounding environment. There is an active research field to tackle this prob...

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Main Authors: Yong L.C., Raymond W.J.K., Mei K.T.
Other Authors: 57220872252
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-252372023-05-29T16:07:31Z Evaluation of Partial Discharge Denoising using Power Spectral Subtraction Yong L.C. Raymond W.J.K. Mei K.T. 57220872252 55193255600 57220873063 Partial discharge (PD) measurement is widely adopted to estimate the condition of insulation quality. The main hurdle in the monitoring of online PD is the extraction of PD signal from excessive noise originating from the surrounding environment. There is an active research field to tackle this problem and the trend gravitates towards using wavelet denoising techniques. In this work, the feasibility of power spectral subtraction denoising (PSSD) as a PD denoising tool was investigated. In the performance test, simulated noise was used to contaminate the simulated PD signals to emulate real PD signals measured in the field. The denoising test results showed that PSSD is able to achieve higher signal to noise ratio and lower mean square error compared to several variant of wavelet denoising methods. � 2020 IEEE. Final 2023-05-29T08:07:31Z 2023-05-29T08:07:31Z 2020 Conference Paper 10.1109/SCOReD50371.2020.9250942 2-s2.0-85097757710 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097757710&doi=10.1109%2fSCOReD50371.2020.9250942&partnerID=40&md5=1b4600bf36c3a03f8e255dd6565872d1 https://irepository.uniten.edu.my/handle/123456789/25237 9250942 86 89 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Partial discharge (PD) measurement is widely adopted to estimate the condition of insulation quality. The main hurdle in the monitoring of online PD is the extraction of PD signal from excessive noise originating from the surrounding environment. There is an active research field to tackle this problem and the trend gravitates towards using wavelet denoising techniques. In this work, the feasibility of power spectral subtraction denoising (PSSD) as a PD denoising tool was investigated. In the performance test, simulated noise was used to contaminate the simulated PD signals to emulate real PD signals measured in the field. The denoising test results showed that PSSD is able to achieve higher signal to noise ratio and lower mean square error compared to several variant of wavelet denoising methods. � 2020 IEEE.
author2 57220872252
author_facet 57220872252
Yong L.C.
Raymond W.J.K.
Mei K.T.
format Conference Paper
author Yong L.C.
Raymond W.J.K.
Mei K.T.
spellingShingle Yong L.C.
Raymond W.J.K.
Mei K.T.
Evaluation of Partial Discharge Denoising using Power Spectral Subtraction
author_sort Yong L.C.
title Evaluation of Partial Discharge Denoising using Power Spectral Subtraction
title_short Evaluation of Partial Discharge Denoising using Power Spectral Subtraction
title_full Evaluation of Partial Discharge Denoising using Power Spectral Subtraction
title_fullStr Evaluation of Partial Discharge Denoising using Power Spectral Subtraction
title_full_unstemmed Evaluation of Partial Discharge Denoising using Power Spectral Subtraction
title_sort evaluation of partial discharge denoising using power spectral subtraction
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806423478469918720
score 13.223943

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