Detection and analysis of power quality disturbances using bilinear time-frequency distribution / Wan Mohammad Faiz Wan Sharifudin

Power Quality (PQ) is the most prolific and major concern in power industry especially for the power engineers, respectively. Maintaining the power quality at high level is always the aim for the power engineers so that the power delivered efficiently with lesser power loss. Voltage, current or freq...

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Main Author:	Wan Sharifudin, Wan Mohammad Faiz
Format:	Thesis
Language:	English
Published:	2013
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	https://ir.uitm.edu.my/id/eprint/77923/1/77923.pdf
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id	my-uitm-ir.77923
record_format	uketd_dc
spelling	my-uitm-ir.779232023-07-26T00:41:48Z Detection and analysis of power quality disturbances using bilinear time-frequency distribution / Wan Mohammad Faiz Wan Sharifudin 2013 Wan Sharifudin, Wan Mohammad Faiz TK Electrical engineering. Electronics. Nuclear engineering Power Quality (PQ) is the most prolific and major concern in power industry especially for the power engineers, respectively. Maintaining the power quality at high level is always the aim for the power engineers so that the power delivered efficiently with lesser power loss. Voltage, current or frequency deviation manifesting in the power quality problem would result in failure or permanent disoperation of apparatus and load equipments. Time Frequency Distribution (TFD) is a powerful tool that have attract interest of many power engineering researchers to be tested for recognition and detection of power quality (PQ) disturbances with power related analysis. The development of TFD has been progressively studied under Digital Signal Processing field and it have been used to analyze various real-lite problems such as radar, sonar, seismic data analysis, biomedical engineering, and automatic emission. The method used in this study is Wigner Ville Distribution, This method would introduce power quality distortion signal representation in term of bilinear Time-Frequency Representation (TFR) Representation of analysis in classical time or frequency only is not sufficient to show further characteristic and information carried by the signal. Therefore by combining both time and frequency the analysis could be extended to further level such as energy density. 2013 Thesis https://ir.uitm.edu.my/id/eprint/77923/ https://ir.uitm.edu.my/id/eprint/77923/1/77923.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Sharif, Zaiton
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Sharif, Zaiton
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Wan Sharifudin, Wan Mohammad Faiz Detection and analysis of power quality disturbances using bilinear time-frequency distribution / Wan Mohammad Faiz Wan Sharifudin
description	Power Quality (PQ) is the most prolific and major concern in power industry especially for the power engineers, respectively. Maintaining the power quality at high level is always the aim for the power engineers so that the power delivered efficiently with lesser power loss. Voltage, current or frequency deviation manifesting in the power quality problem would result in failure or permanent disoperation of apparatus and load equipments. Time Frequency Distribution (TFD) is a powerful tool that have attract interest of many power engineering researchers to be tested for recognition and detection of power quality (PQ) disturbances with power related analysis. The development of TFD has been progressively studied under Digital Signal Processing field and it have been used to analyze various real-lite problems such as radar, sonar, seismic data analysis, biomedical engineering, and automatic emission. The method used in this study is Wigner Ville Distribution, This method would introduce power quality distortion signal representation in term of bilinear Time-Frequency Representation (TFR) Representation of analysis in classical time or frequency only is not sufficient to show further characteristic and information carried by the signal. Therefore by combining both time and frequency the analysis could be extended to further level such as energy density.
format	Thesis
qualification_level	Bachelor degree
author	Wan Sharifudin, Wan Mohammad Faiz
author_facet	Wan Sharifudin, Wan Mohammad Faiz
author_sort	Wan Sharifudin, Wan Mohammad Faiz
title	Detection and analysis of power quality disturbances using bilinear time-frequency distribution / Wan Mohammad Faiz Wan Sharifudin
title_short	Detection and analysis of power quality disturbances using bilinear time-frequency distribution / Wan Mohammad Faiz Wan Sharifudin
title_full	Detection and analysis of power quality disturbances using bilinear time-frequency distribution / Wan Mohammad Faiz Wan Sharifudin
title_fullStr	Detection and analysis of power quality disturbances using bilinear time-frequency distribution / Wan Mohammad Faiz Wan Sharifudin
title_full_unstemmed	Detection and analysis of power quality disturbances using bilinear time-frequency distribution / Wan Mohammad Faiz Wan Sharifudin
title_sort	detection and analysis of power quality disturbances using bilinear time-frequency distribution / wan mohammad faiz wan sharifudin
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2013
url	https://ir.uitm.edu.my/id/eprint/77923/1/77923.pdf
_version_	1783736182229696512

Detection and analysis of power quality disturbances using bilinear time-frequency distribution / Wan Mohammad Faiz Wan Sharifudin

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