Identification power quality events by wavelet transform

淡江大學機構典藏 > 工學院 > 電機工程學系暨研究所 > 會議論文 > Item 987654321/38892

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题名:	Identification power quality events by wavelet transform
作者:	Hsiao, Ying-Tung;Shieh, Ping-Chen;Lin, Chan-Sheng
贡献者:	淡江大學電機工程學系
关键词:	小波轉換;電力品質;Wavelet Transform;Power Quality
日期:	2002-11
上传时间:	2010-01-11 16:06:23 (UTC+8)
摘要:	For the advanced agricultural and biotechnology experiments, the high quality power supply is most essential for the proper and reliable operation of the sophisticated instruments and computers. In recent years, the growing utilization of nonlinear loads and sensitive electronic equipment is leading to gradual decreasing on the quality of electrical power systems. This paper firstly describes the various types of waveforms of voltages and currents related to power quality problem. For identification of power quality problems, this work propose a wavelet based rule base to analysis the waveform of voltages and currents. Then, statistics method is employed to analysis the features of those decomposed waveform. Based on the results of the statistics analysis, we develop a rule base to identify the power quality event. Finally, many disturbance cases generated by Matlab/Simulink program are utilized to verify the performance of the proposed approach.
關聯:	2002年農業及生物生產機械及機電整合國際研討會論文集 (Volume 2)=Proceedings of International Symposium on Automation Mechatronics of Agricultural and Bioproduction Systems (Volume 2)，頁436-443
显示于类别:	[電機工程學系暨研究所] 會議論文

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