Wavelet-based identification and classification of voltage variations and capacitor switching transients

Two wavelet-based applications in power quality analysis have been introduced in this thesis. One is a wavelet-based energy content method for classifying short duration voltage variations. The accurate time and magnitude information of the disturbances can be obtained using this method. Even the sh...

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Bibliographic Details
Main Author:	Zhu, Haiyu
Other Authors:	Chen Shiun
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Power electronics
Online Access:	https://hdl.handle.net/10356/3536
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Institution:	Nanyang Technological University

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spelling	sg-ntu-dr.10356-35362023-07-04T17:12:22Z Wavelet-based identification and classification of voltage variations and capacitor switching transients Zhu, Haiyu Chen Shiun School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Power electronics Two wavelet-based applications in power quality analysis have been introduced in this thesis. One is a wavelet-based energy content method for classifying short duration voltage variations. The accurate time and magnitude information of the disturbances can be obtained using this method. Even the short duration voltage interruptions, which are difficult to be identified using the conventional RMS method, can be readily identified by this method. The other is a wavelet-based fuzzy method for identifying capacitor switching transients. This method can discriminate capacitor switching transients from other transients while tolerating some uncertainties with the system parameters. DOCTOR OF PHILOSOPHY (EEE) 2008-09-17T09:31:47Z 2008-09-17T09:31:47Z 2006 2006 Thesis Zhu, H. (2006). Wavelet-based identification and classification of voltage variations and capacitor switching transients. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/3536 10.32657/10356/3536 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Electrical and electronic engineering::Power electronics
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Power electronics Zhu, Haiyu Wavelet-based identification and classification of voltage variations and capacitor switching transients
description	Two wavelet-based applications in power quality analysis have been introduced in this thesis. One is a wavelet-based energy content method for classifying short duration voltage variations. The accurate time and magnitude information of the disturbances can be obtained using this method. Even the short duration voltage interruptions, which are difficult to be identified using the conventional RMS method, can be readily identified by this method. The other is a wavelet-based fuzzy method for identifying capacitor switching transients. This method can discriminate capacitor switching transients from other transients while tolerating some uncertainties with the system parameters.
author2	Chen Shiun
author_facet	Chen Shiun Zhu, Haiyu
format	Theses and Dissertations
author	Zhu, Haiyu
author_sort	Zhu, Haiyu
title	Wavelet-based identification and classification of voltage variations and capacitor switching transients
title_short	Wavelet-based identification and classification of voltage variations and capacitor switching transients
title_full	Wavelet-based identification and classification of voltage variations and capacitor switching transients
title_fullStr	Wavelet-based identification and classification of voltage variations and capacitor switching transients
title_full_unstemmed	Wavelet-based identification and classification of voltage variations and capacitor switching transients
title_sort	wavelet-based identification and classification of voltage variations and capacitor switching transients
publishDate	2008
url	https://hdl.handle.net/10356/3536
_version_	1772826281710190592

Wavelet-based identification and classification of voltage variations and capacitor switching transients

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