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Characterization of Phase Resolved Partial Discharge waveforms from instrument transformer using statistical signal processing technique

Electric instrument transformers; Electric transformer testing; Electric transformers; Electric waveforms; High frequency transformers; Image processing; Instrument testing; Partial discharges; Signal detection; Stochastic systems; High frequency current transformers; inteferences; Non-intrusive sen...

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Main Authors: Thayoob Y.H.M., Ahmed S.K., Piau C.C., Ping C.Y., Balasubramaniam Y.
Other Authors: 6505876050
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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id my.uniten.dspace-22841
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spelling my.uniten.dspace-228412023-05-29T14:12:38Z Characterization of Phase Resolved Partial Discharge waveforms from instrument transformer using statistical signal processing technique Thayoob Y.H.M. Ahmed S.K. Piau C.C. Ping C.Y. Balasubramaniam Y. 6505876050 25926812900 57189520906 57189517163 57189520843 Electric instrument transformers; Electric transformer testing; Electric transformers; Electric waveforms; High frequency transformers; Image processing; Instrument testing; Partial discharges; Signal detection; Stochastic systems; High frequency current transformers; inteferences; Non-intrusive sensors; Partial discharge activity; Partial discharge detection; Phase resolved partial discharge patterns; Phase resolved partial discharges; Statistical signal processing; Signal processing Partial Discharge (PD) detection is one of the important methods used to evaluate the insulation condition of in-service high voltage (HV) electrical equipment. On-site PD detection methods are preferred compared to other methods as non-intrusive sensors are easier to install and have no interruptions on the operation. An electrical PD testing utilizing High Frequency Current Transformer (HFCT) installed at the ground terminal of the in-service instrument transformer was used to detect partial discharge activities. However, the limitation of this method is the measurement often lacks of accuracy due to interference in the measured PD waveforms. Therefore, such PD signals are hard to be distinguished from the stochastic noise pulses. Hence, the characteristics of PD signals and interference signals are studied in the Phase Resolved Partial Discharge (PRPD) pattern in order to identify the extent of PD occurrence in the signals. The discharge magnitude could increase significantly because of the noise signals superposed with PD signals. Therefore a method that can remove high magnitude noise will be proposed by using statistical signal processing technique. � 2015 IEEE. Final 2023-05-29T06:12:38Z 2023-05-29T06:12:38Z 2016 Conference Paper 10.1109/ICSIPA.2015.7412217 2-s2.0-84971623931 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84971623931&doi=10.1109%2fICSIPA.2015.7412217&partnerID=40&md5=caf1e1e6886f837fb319dff624939c1b https://irepository.uniten.edu.my/handle/123456789/22841 7412217 355 360 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 Electric instrument transformers; Electric transformer testing; Electric transformers; Electric waveforms; High frequency transformers; Image processing; Instrument testing; Partial discharges; Signal detection; Stochastic systems; High frequency current transformers; inteferences; Non-intrusive sensors; Partial discharge activity; Partial discharge detection; Phase resolved partial discharge patterns; Phase resolved partial discharges; Statistical signal processing; Signal processing
author2 6505876050
author_facet 6505876050
Thayoob Y.H.M.
Ahmed S.K.
Piau C.C.
Ping C.Y.
Balasubramaniam Y.
format Conference Paper
author Thayoob Y.H.M.
Ahmed S.K.
Piau C.C.
Ping C.Y.
Balasubramaniam Y.
spellingShingle Thayoob Y.H.M.
Ahmed S.K.
Piau C.C.
Ping C.Y.
Balasubramaniam Y.
Characterization of Phase Resolved Partial Discharge waveforms from instrument transformer using statistical signal processing technique
author_sort Thayoob Y.H.M.
title Characterization of Phase Resolved Partial Discharge waveforms from instrument transformer using statistical signal processing technique
title_short Characterization of Phase Resolved Partial Discharge waveforms from instrument transformer using statistical signal processing technique
title_full Characterization of Phase Resolved Partial Discharge waveforms from instrument transformer using statistical signal processing technique
title_fullStr Characterization of Phase Resolved Partial Discharge waveforms from instrument transformer using statistical signal processing technique
title_full_unstemmed Characterization of Phase Resolved Partial Discharge waveforms from instrument transformer using statistical signal processing technique
title_sort characterization of phase resolved partial discharge waveforms from instrument transformer using statistical signal processing technique
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806424540095447040
score 13.211869

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