Power Quality Signals Classification System Using Time-Frequency Distribution

Abdullah, Abdul Rahim and abidullah, Noor Athira and shamsudin, Nur hazahsha and ahmad, Nur Hafizatul Tul Huda and JOPRI, MOHD HATTA (2014) Power Quality Signals Classification System Using Time-Frequency Distribution. Applied Mechanics and Materials, 494. pp. 1889-1894. ISSN 1662-7482.

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Abstract

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 development of power quality signals classification system using time-frequency analysis technique which is spectrogram. From the time-frequency representation (TFR), parameters of the signal are estimated to identify the characteristics of the signals. The signal parameters are instantaneous of RMS voltage, RMS fundamental voltage, total waveform distortion, total harmonic distortion and total non harmonic distortion. In this paper, major power quality signals are focused based on IEEE Std. 1159-2009 such as swell, sag, interruption, harmonic, interharmonic, and transient. An automated signal classification system using spectrogram is developed to identify, classify as well as provide the information of the signal.

Item Type:	Article
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Electrical Engineering > Department of Industrial Power
Depositing User:	Dr Abdul Rahim Abdullah
Date Deposited:	20 Feb 2014 03:28
Last Modified:	28 May 2015 04:17
URI:	http://eprints.utem.edu.my/id/eprint/11439
Statistic Details:	View Download Statistic

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