Identification of transient overvoltage using discrete wavelet transform with minimized border distortion effect and support vector machine / Saidatul Habsah Asman

Asman, Saidatul Habsah (2018) Identification of transient overvoltage using discrete wavelet transform with minimized border distortion effect and support vector machine / Saidatul Habsah Asman. Masters thesis, Universiti Teknologi MARA (UiTM).

Abstract

The rapid growth of electric power industry today has changed the conventional framework as far as power quality issues are concerned. Power quality issues such as power quality disturbances can substantially affect high sensitive utilization equipment like the malfunction of sensitive electronic medical equipment and adjustable speed motor drives trip off-line.

Metadata

Item Type:	Thesis (Masters)
Creators:	Creators Email / ID Num. Asman, Saidatul Habsah 2016496068
Contributors:	Contribution Name Email / ID Num. Thesis advisor Abidin, Ahmad Farid UNSPECIFIED
Subjects:	H Social Sciences > HD Industries. Land use. Labor
Divisions:	Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering
Programme:	Master of Science (Electrical Engineering) – EE750
Keywords:	Electric power industry, conventional framework, overvoltage,
Date:	2018
URI:	https://ir.uitm.edu.my/id/eprint/87008