Power Quality Signals Classification System Using Time-Frequency Distribution

• Main Authors: Abdullah, Abdul Rahim, abidullah, Noor Athira, shamsudin, Nur hazahsha, ahmad, Nur Hafizatul Tul Huda, JOPRI, MOHD HATTA
• Format: Article
• Language: English
• Published: scientific 2014
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utem.edu.my/id/eprint/11439/1/2014_AMM_journal_Power_Quality_Signals_Classification_System_using_Time-frequency_distrubtion.pdf; http://eprints.utem.edu.my/id/eprint/11439/; http://www.scientific.net/AMM.494-495.1889
• Institution: Universiti Teknikal Malaysia Melaka

Power quality signals are an important issue to electricity consumers. The signals will affect manufacturing process, malfunction of equipment and economic losses. Thus, an automated monitoring system is required to identify and classify the signals for diagnosis purposes. This paper presents the de...