(1994) An on-line neural network-based harmonic analyzer. Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on, 1.
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Abstract
This paper introduces a simple solution, based on neural networks, to the problem of the on-line and adaptive harmonic component analysis in power systems. A single neuron is used whose synaptic weights are directly related to the signal's dc component and to the magnitudes and phases of the harmonic components present in the signal. In addition, deviation from the nominal fundamental frequency is accounted for in the same context. The simulation of a realistic test case shows a very efficient and precise estimation of the present harmonics
Item Type: | Article |
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Subjects: | Computer |
Department: | College of Engineering and Physics > Electrical Engineering |
Depositing User: | Mr. Admin Admin |
Date Deposited: | 24 Jun 2008 13:48 |
Last Modified: | 01 Nov 2019 14:07 |
URI: | http://eprints.kfupm.edu.sa/id/eprint/14751 |