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

Kamal Bahrein, Ahmad Faizal (2004) A fuzzy logic based recognition technique for RMS variations categorization / Ahmad Faizal Kamal Bahrein. Degree thesis, Universiti Teknologi MARA (UiTM).

Abstract

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.

Metadata

Item Type:	Thesis (Degree)
Creators:	Creators Email / ID Num. Kamal Bahrein, Ahmad Faizal UNSPECIFIED
Contributors:	Contribution Name Email / ID Num. Thesis advisor Abedin, Ahmad Fared UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Computer software > Application software Q Science > QA Mathematics > Fuzzy logic T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics > Applications of electronics
Divisions:	Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering
Programme:	Bachelor of Electrical Engineering (Hons.)
Keywords:	Electronic equipment, power quality, voltage
Date:	2004
URI:	https://ir.uitm.edu.my/id/eprint/84783