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Noise reduction techniques for partial discharge classification in XPLE cable joint / Noratika Mohd Zin

Cable joints of cross-linked polyethylene (XLPE) are the weakest point in a power system and can cause insulation failures with the present of partial discharge (PD). Therefore, it is important to monitor PDs at cable joints and determine the type of the defect that exists at cable joints. Determina...

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Main Author: Noratika, Mohd Zin
Format: Thesis
Published: 2017
Subjects:
T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://studentsrepo.um.edu.my/8507/7/noratika.pdf
http://studentsrepo.um.edu.my/8507/
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spelling my.um.stud.85072020-07-29T00:06:16Z Noise reduction techniques for partial discharge classification in XPLE cable joint / Noratika Mohd Zin Noratika, Mohd Zin T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Cable joints of cross-linked polyethylene (XLPE) are the weakest point in a power system and can cause insulation failures with the present of partial discharge (PD). Therefore, it is important to monitor PDs at cable joints and determine the type of the defect that exists at cable joints. Determination of the type of the defect at cable joints can reduce the repair time and maintenance cost. In this project, defect type in cable joint determination using partial discharge testing under noisy condition was carried out. Five joints of cross-linked polyethylene cable including artificial defects were created according to the conditions usually found at site. Various noise reduction techniques were applied to denoise the PD signals and the denoised PD signals were used to determine different types of defect in cable joints. The input features from different noise reduction techniques were applied to train the classifier to determine the type of the problem in the samples. Determination of the defect type was performed using Support Vector Machine (SVM) after DFT, WPT and DWT techniques. The results were compared between each noise reduction methods to evaluate the performance of the applied methods. It was found that the noise reduction technique on partial discharge signals from cable joint defects using discrete Fourier transform (DFT) yields a better accuracy than wavelet packet transform (WPT) and discrete wavelet transform (DWT). Keywords: Partial discharge measurement, support vector machine, high voltage engineering, cable insulation, signal processing 2017-12 Thesis NonPeerReviewed application/pdf http://studentsrepo.um.edu.my/8507/7/noratika.pdf Noratika, Mohd Zin (2017) Noise reduction techniques for partial discharge classification in XPLE cable joint / Noratika Mohd Zin. Masters thesis, University of Malaya. http://studentsrepo.um.edu.my/8507/
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Student Repository
url_provider http://studentsrepo.um.edu.my/
topic T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Noratika, Mohd Zin
Noise reduction techniques for partial discharge classification in XPLE cable joint / Noratika Mohd Zin
description Cable joints of cross-linked polyethylene (XLPE) are the weakest point in a power system and can cause insulation failures with the present of partial discharge (PD). Therefore, it is important to monitor PDs at cable joints and determine the type of the defect that exists at cable joints. Determination of the type of the defect at cable joints can reduce the repair time and maintenance cost. In this project, defect type in cable joint determination using partial discharge testing under noisy condition was carried out. Five joints of cross-linked polyethylene cable including artificial defects were created according to the conditions usually found at site. Various noise reduction techniques were applied to denoise the PD signals and the denoised PD signals were used to determine different types of defect in cable joints. The input features from different noise reduction techniques were applied to train the classifier to determine the type of the problem in the samples. Determination of the defect type was performed using Support Vector Machine (SVM) after DFT, WPT and DWT techniques. The results were compared between each noise reduction methods to evaluate the performance of the applied methods. It was found that the noise reduction technique on partial discharge signals from cable joint defects using discrete Fourier transform (DFT) yields a better accuracy than wavelet packet transform (WPT) and discrete wavelet transform (DWT). Keywords: Partial discharge measurement, support vector machine, high voltage engineering, cable insulation, signal processing
format Thesis
author Noratika, Mohd Zin
author_facet Noratika, Mohd Zin
author_sort Noratika, Mohd Zin
title Noise reduction techniques for partial discharge classification in XPLE cable joint / Noratika Mohd Zin
title_short Noise reduction techniques for partial discharge classification in XPLE cable joint / Noratika Mohd Zin
title_full Noise reduction techniques for partial discharge classification in XPLE cable joint / Noratika Mohd Zin
title_fullStr Noise reduction techniques for partial discharge classification in XPLE cable joint / Noratika Mohd Zin
title_full_unstemmed Noise reduction techniques for partial discharge classification in XPLE cable joint / Noratika Mohd Zin
title_sort noise reduction techniques for partial discharge classification in xple cable joint / noratika mohd zin
publishDate 2017
url http://studentsrepo.um.edu.my/8507/7/noratika.pdf
http://studentsrepo.um.edu.my/8507/
_version_ 1738506150668664832
score 13.211869

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