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A new approach to identify electrical PD signal patterns using frequency spectral analysis

Partial Discharge (PD) tests on HV equipment have been identified as a popular technique to monitor the deterioration process in insulation. Therefore it is very important to recognize and locate such partial discharges from an unknown origin in the insulation. The research on "PD pattern recog...

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Main Authors: Thayoob Y.H.Md., Ghani A.B.Abd., Ghosh P.S.
Other Authors: 6505876050
Format: Conference paper
Published: 2023
Subjects:
Electric insulation
Electric potential
Fourier transforms
Pattern recognition
Polarization
Thermal conductivity
Time domain analysis
Short-time Fourier transform (STFT) techniques
Partial discharges
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spelling my.uniten.dspace-299222023-12-28T16:58:16Z A new approach to identify electrical PD signal patterns using frequency spectral analysis Thayoob Y.H.Md. Ghani A.B.Abd. Ghosh P.S. 6505876050 24469638000 55427760300 Electric insulation Electric potential Fourier transforms Pattern recognition Polarization Thermal conductivity Time domain analysis Short-time Fourier transform (STFT) techniques Partial discharges Partial Discharge (PD) tests on HV equipment have been identified as a popular technique to monitor the deterioration process in insulation. Therefore it is very important to recognize and locate such partial discharges from an unknown origin in the insulation. The research on "PD pattern recognition" is mostly performed in time-domain. In this paper a new criteria has been proposed to analyse "Electrical PD Signals" in the frequency domain for "PD pattern recognition". An experiment is carried out on an 11 KV, single-core, 240 mm2, XLPE cable under three different soil thermal resistivities and cable loading to acquire "Electrical PD Signals" in the shape of ellipse on a 50 Hz time base. The time-domain electrical PD signals are then transformed into frequency spectrum by short-time-Fourier transform (STFT) technique for analysis using eight related frequency-domain descriptors. The proposed spectral analysis results of the "Electrical PD Signals" acquired from the cable experiment have proved that the procedure should be made both for positive and negative polarization of the applied voltage. The obtained results also confirm the ability of the proposed "frequency-domain analysis" to identify a specific PD type from the associated frequency spectra and the related descriptors. Final 2023-12-28T08:58:15Z 2023-12-28T08:58:15Z 2002 Conference paper 2-s2.0-0036442730 https://www.scopus.com/inward/record.uri?eid=2-s2.0-0036442730&partnerID=40&md5=6deaf6005f9c2701f906bfaced7afb29 https://irepository.uniten.edu.my/handle/123456789/29922 716 719 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/
topic Electric insulation
Electric potential
Fourier transforms
Pattern recognition
Polarization
Thermal conductivity
Time domain analysis
Short-time Fourier transform (STFT) techniques
Partial discharges
spellingShingle Electric insulation
Electric potential
Fourier transforms
Pattern recognition
Polarization
Thermal conductivity
Time domain analysis
Short-time Fourier transform (STFT) techniques
Partial discharges
Thayoob Y.H.Md.
Ghani A.B.Abd.
Ghosh P.S.
A new approach to identify electrical PD signal patterns using frequency spectral analysis
description Partial Discharge (PD) tests on HV equipment have been identified as a popular technique to monitor the deterioration process in insulation. Therefore it is very important to recognize and locate such partial discharges from an unknown origin in the insulation. The research on "PD pattern recognition" is mostly performed in time-domain. In this paper a new criteria has been proposed to analyse "Electrical PD Signals" in the frequency domain for "PD pattern recognition". An experiment is carried out on an 11 KV, single-core, 240 mm2, XLPE cable under three different soil thermal resistivities and cable loading to acquire "Electrical PD Signals" in the shape of ellipse on a 50 Hz time base. The time-domain electrical PD signals are then transformed into frequency spectrum by short-time-Fourier transform (STFT) technique for analysis using eight related frequency-domain descriptors. The proposed spectral analysis results of the "Electrical PD Signals" acquired from the cable experiment have proved that the procedure should be made both for positive and negative polarization of the applied voltage. The obtained results also confirm the ability of the proposed "frequency-domain analysis" to identify a specific PD type from the associated frequency spectra and the related descriptors.
author2 6505876050
author_facet 6505876050
Thayoob Y.H.Md.
Ghani A.B.Abd.
Ghosh P.S.
format Conference paper
author Thayoob Y.H.Md.
Ghani A.B.Abd.
Ghosh P.S.
author_sort Thayoob Y.H.Md.
title A new approach to identify electrical PD signal patterns using frequency spectral analysis
title_short A new approach to identify electrical PD signal patterns using frequency spectral analysis
title_full A new approach to identify electrical PD signal patterns using frequency spectral analysis
title_fullStr A new approach to identify electrical PD signal patterns using frequency spectral analysis
title_full_unstemmed A new approach to identify electrical PD signal patterns using frequency spectral analysis
title_sort new approach to identify electrical pd signal patterns using frequency spectral analysis
publishDate 2023
_version_ 1806426693307465728
score 13.222552

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