Power Quality Signals Classification System Using Time-Frequency Distribution
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...
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Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
scientific
2014
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Subjects: | |
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 |
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