Radial Basis Function-Based Neural Network for Harmonics Detection

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题名:	Radial Basis Function-Based Neural Network for Harmonics Detection
作者:	G. W. Chang;C. I Chen;Y. F. Teng
日期:	2009
上传时间:	2010-04-15 05:42:30 (UTC+0)
摘要:	The widespread application of power electronic loads has led to increasing harmonic pollution in the supply system. In order to prevent harmonics from deteriorating the power quality, detecting harmonic components for harmonic mitigations becomes a critical issue. In this paper, an effective procedure based on the radial basis function neural network is proposed to detect harmonic amplitudes of the measured signal. By comparing with several commonly used methods, it is shown that the proposed solution procedure yields more accurate results and requires less sampled data for harmonics assessment.
關聯:	IEEETransactions on Industrial Electronics
显示于类别:	[資訊工程學系] 期刊論文

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