| Titre : | Radial-basis-function-based neural network for harmonic detection |
| Auteurs : | Chang, Gary W., Auteur ; Chen, Cheng-I, Auteur ; Teng, Yu-Feng, Auteur |
| Type de document : | Article : texte imprimé |
| Dans : | IEEE transactions on industrial electronics (Vol. 57 N° 6, Juin 2010) |
| Article en page(s) : | pp. 2171 - 2179 |
| Note générale : | Génie électrique |
| Langues : | Anglais |
| Index. décimale : | 621.38 (Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X) |
| Tags : | Adaptive linear combiner (ADALINE) Back-propagation neural network Fast Fourier transform (FFT) Harmonics Radial-basis-function |
| Résumé : | 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. |
| DEWEY : | 621.38 |
| ISSN : | 0278-0046 |
| En ligne : | http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5290151 |
