A fuzzy logic based recognition technique for RMS variations categorization / Ahmad Faizal Kamal Bahrein

With an increasing usage of sensitive electronic equipment power quality has become a major concern now. One critical aspect of power quality studies is the ability to perform automatic root mean squares (rms) variations data analysis and categorizations. The various data voltage signal variations s...

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Bibliographic Details
Main Author:	Kamal Bahrein, Ahmad Faizal
Format:	Thesis
Language:	English
Published:	2004
Subjects:	Application software Fuzzy logic Applications of electronics
Online Access:	https://ir.uitm.edu.my/id/eprint/84783/1/84783.pdf
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id	my-uitm-ir.84783
record_format	uketd_dc
spelling	my-uitm-ir.847832024-03-26T03:58:01Z A fuzzy logic based recognition technique for RMS variations categorization / Ahmad Faizal Kamal Bahrein 2004 Kamal Bahrein, Ahmad Faizal Application software Fuzzy logic Applications of electronics With an increasing usage of sensitive electronic equipment power quality has become a major concern now. One critical aspect of power quality studies is the ability to perform automatic root mean squares (rms) variations data analysis and categorizations. The various data voltage signal variations such as voltage sag, swell, interruption and normal are then classified by a fuzzy logic decision system using the fiizzified values of maximum and the minimum magnitude of the voltage component. 2004 Thesis https://ir.uitm.edu.my/id/eprint/84783/ https://ir.uitm.edu.my/id/eprint/84783/1/84783.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Abedin, Ahmad Fared
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Abedin, Ahmad Fared
topic	Application software Fuzzy logic Applications of electronics
spellingShingle	Application software Fuzzy logic Applications of electronics Kamal Bahrein, Ahmad Faizal A fuzzy logic based recognition technique for RMS variations categorization / Ahmad Faizal Kamal Bahrein
description	With an increasing usage of sensitive electronic equipment power quality has become a major concern now. One critical aspect of power quality studies is the ability to perform automatic root mean squares (rms) variations data analysis and categorizations. The various data voltage signal variations such as voltage sag, swell, interruption and normal are then classified by a fuzzy logic decision system using the fiizzified values of maximum and the minimum magnitude of the voltage component.
format	Thesis
qualification_level	Bachelor degree
author	Kamal Bahrein, Ahmad Faizal
author_facet	Kamal Bahrein, Ahmad Faizal
author_sort	Kamal Bahrein, Ahmad Faizal
title	A fuzzy logic based recognition technique for RMS variations categorization / Ahmad Faizal Kamal Bahrein
title_short	A fuzzy logic based recognition technique for RMS variations categorization / Ahmad Faizal Kamal Bahrein
title_full	A fuzzy logic based recognition technique for RMS variations categorization / Ahmad Faizal Kamal Bahrein
title_fullStr	A fuzzy logic based recognition technique for RMS variations categorization / Ahmad Faizal Kamal Bahrein
title_full_unstemmed	A fuzzy logic based recognition technique for RMS variations categorization / Ahmad Faizal Kamal Bahrein
title_sort	fuzzy logic based recognition technique for rms variations categorization / ahmad faizal kamal bahrein
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2004
url	https://ir.uitm.edu.my/id/eprint/84783/1/84783.pdf
_version_	1804889736147369984

A fuzzy logic based recognition technique for RMS variations categorization / Ahmad Faizal Kamal Bahrein

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