Radial-basis-function-based neural network for harmonic detection

Gary W. Chang; Cheng I. Chen; Yu Feng Teng

doi:10.1109/TIE.2009.2034681

Radial-basis-function-based neural network for harmonic detection

Gary W. Chang, Cheng I. Chen, Yu Feng Teng

Department of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

181 Scopus citations

Abstract

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 the 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 harmonic assessment.

Original language	English
Article number	5290151
Pages (from-to)	2171-2179
Number of pages	9
Journal	IEEE Transactions on Industrial Electronics
Volume	57
Issue number	6
DOIs	https://doi.org/10.1109/TIE.2009.2034681
State	Published - Jun 2010

Keywords

Adaptive linear combiner (ADALINE)
Back-propagation neural network
Fast Fourier transform (FFT)
Harmonics
Radial-basis-function neural network (RBFNN)

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10.1109/TIE.2009.2034681

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abstract = "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 the 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 harmonic assessment.",

keywords = "Adaptive linear combiner (ADALINE), Back-propagation neural network, Fast Fourier transform (FFT), Harmonics, Radial-basis-function neural network (RBFNN)",

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note = "Funding Information: Manuscript received March 2, 2009; revised April 30, 2009 and August 14, 2009; accepted September 26, 2009. Date of publication October 20, 2009; date of current version May 12, 2010. This work was supported by the National Science Council of Taiwan under Grant NSC97-2221-E-194-062-MY3.",

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KW - Fast Fourier transform (FFT)

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Radial-basis-function-based neural network for harmonic detection

Abstract

Keywords

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