Developing a stochastic model for partial discharge detection in voids of polymeric cable insulation

The detection of Partial Discharge (PD) is a useful tool in the maintenance and operation of electrical high voltage power cables. It has attracted many research and development efforts within the past one and a half decade. However, questions regarding the analysis and interpretation of PD data are...

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Main Author:	Questelles, Kenroy Alexander
Format:	Thesis
Language:	English
Published:	2006
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/1778/1/KenroyAlexanderQuestellesMED2006.pdf
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id	my-utm-ep.1778
record_format	uketd_dc
spelling	my-utm-ep.17782018-04-27T01:09:56Z Developing a stochastic model for partial discharge detection in voids of polymeric cable insulation 2006-05 Questelles, Kenroy Alexander TK Electrical engineering. Electronics Nuclear engineering The detection of Partial Discharge (PD) is a useful tool in the maintenance and operation of electrical high voltage power cables. It has attracted many research and development efforts within the past one and a half decade. However, questions regarding the analysis and interpretation of PD data are still unanswered. In this research, an attempt is made to develop a simulation programme that can be used for developing a better understanding of the nature of PD phenomena based on its stochastic nature. It is done in consideration to the statistical properties of measured PD data from previous research, as well as the use of trial and error to obtain some parameters. Simulation was done in an effort to reconstruct the electrical field model of voids in polymeric cables using MATLAB M-files and statistical data from Phase Resolve Partial Discharge (PRPD) patterns. Such modeling can work for both electrical and acoustic data and may be used as a basis for comparison of future PD detection outcomes. The results indicates that the model worked well in the reconstruction of the field patterns of voids from given time and statistical data using the computer programme developed. Though the time was limited, the result seems to present new insight regarding the field patterns in the void. Phase and time data were combined in an effort to realize the objectives. 2006-05 Thesis http://eprints.utm.my/id/eprint/1778/ http://eprints.utm.my/id/eprint/1778/1/KenroyAlexanderQuestellesMED2006.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Questelles, Kenroy Alexander Developing a stochastic model for partial discharge detection in voids of polymeric cable insulation
description	The detection of Partial Discharge (PD) is a useful tool in the maintenance and operation of electrical high voltage power cables. It has attracted many research and development efforts within the past one and a half decade. However, questions regarding the analysis and interpretation of PD data are still unanswered. In this research, an attempt is made to develop a simulation programme that can be used for developing a better understanding of the nature of PD phenomena based on its stochastic nature. It is done in consideration to the statistical properties of measured PD data from previous research, as well as the use of trial and error to obtain some parameters. Simulation was done in an effort to reconstruct the electrical field model of voids in polymeric cables using MATLAB M-files and statistical data from Phase Resolve Partial Discharge (PRPD) patterns. Such modeling can work for both electrical and acoustic data and may be used as a basis for comparison of future PD detection outcomes. The results indicates that the model worked well in the reconstruction of the field patterns of voids from given time and statistical data using the computer programme developed. Though the time was limited, the result seems to present new insight regarding the field patterns in the void. Phase and time data were combined in an effort to realize the objectives.
format	Thesis
qualification_level	Master's degree
author	Questelles, Kenroy Alexander
author_facet	Questelles, Kenroy Alexander
author_sort	Questelles, Kenroy Alexander
title	Developing a stochastic model for partial discharge detection in voids of polymeric cable insulation
title_short	Developing a stochastic model for partial discharge detection in voids of polymeric cable insulation
title_full	Developing a stochastic model for partial discharge detection in voids of polymeric cable insulation
title_fullStr	Developing a stochastic model for partial discharge detection in voids of polymeric cable insulation
title_full_unstemmed	Developing a stochastic model for partial discharge detection in voids of polymeric cable insulation
title_sort	developing a stochastic model for partial discharge detection in voids of polymeric cable insulation
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2006
url	http://eprints.utm.my/id/eprint/1778/1/KenroyAlexanderQuestellesMED2006.pdf
_version_	1747814384507289600

Developing a stochastic model for partial discharge detection in voids of polymeric cable insulation

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