Publication:
Evaluation of Partial Discharge Denoising using Power Spectral Subtraction

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dc.citedby1
dc.contributor.authorYong L.C.en_US
dc.contributor.authorRaymond W.J.K.en_US
dc.contributor.authorMei K.T.en_US
dc.contributor.authorid57220872252en_US
dc.contributor.authorid55193255600en_US
dc.contributor.authorid57220873063en_US
dc.date.accessioned2023-05-29T08:07:31Z
dc.date.available2023-05-29T08:07:31Z
dc.date.issued2020
dc.description.abstractPartial 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.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo9250942
dc.identifier.doi10.1109/SCOReD50371.2020.9250942
dc.identifier.epage89
dc.identifier.scopus2-s2.0-85097757710
dc.identifier.spage86
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85097757710&doi=10.1109%2fSCOReD50371.2020.9250942&partnerID=40&md5=1b4600bf36c3a03f8e255dd6565872d1
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25237
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2020 IEEE Student Conference on Research and Development, SCOReD 2020
dc.titleEvaluation of Partial Discharge Denoising using Power Spectral Subtractionen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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