@inproceedings{458ed7c12904435789ada4492e338cd2,
title = "Radial basis function-based neural network for harmonics detection",
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 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.",
keywords = "Adaptive linear combiner, Back propagation neural network, Fast Fourier transform, Harmonics, Radial basis function neural network",
author = "Chen, {Cheng I.} and Chang, {Gary W.}",
year = "2010",
doi = "10.1109/ICIEA.2010.5517128",
language = "???core.languages.en_GB???",
isbn = "9781424450466",
series = "Proceedings of the 2010 5th IEEE Conference on Industrial Electronics and Applications, ICIEA 2010",
pages = "486--491",
booktitle = "Proceedings of the 2010 5th IEEE Conference on Industrial Electronics and Applications, ICIEA 2010",
note = "5th IEEE Conference on Industrial Electronics and Applications, ICIEA 2010 ; Conference date: 15-06-2010 Through 17-06-2010",
}