Documents disponibles écrits par cet auteur

Radial-basis-function-based neural network for harmonic detection / Chang, Gary W. in IEEE transactions on industrial electronics, Vol. 57 N° 6 (Juin 2010) 

Public ISBD [article]  in IEEE transactions on industrial electronics > Vol. 57 N° 6 (Juin 2010) . - pp. 2171 - 2179 Titre : Radial-basis-function-based neural network for harmonic detection Type de document : texte imprimé Auteurs : Chang, Gary W., Auteur ; Chen, Cheng-I, Auteur ; Teng, Yu-Feng, Auteur Article en page(s) : pp. 2171 - 2179 Note générale : Génie électrique Langues : Anglais (eng) Mots-clés : Adaptive  linear  combiner  (ADALINE)  Back-propagation  neural  network  Fast  Fourier  transform  (FFT)  Harmonics  Radial-basis-function  neural  network Index. décimale : 621.38 Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X 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 [article] Radial-basis-function-based neural network for harmonic detection [texte imprimé] / Chang, Gary W., Auteur ; Chen, Cheng-I, Auteur ; Teng, Yu-Feng, Auteur . - pp. 2171 - 2179. Génie électrique Langues : Anglais (eng) in IEEE transactions on industrial electronics > Vol. 57 N° 6 (Juin 2010) . - pp. 2171 - 2179 Mots-clés : Adaptive  linear  combiner  (ADALINE)  Back-propagation  neural  network  Fast  Fourier  transform  (FFT)  Harmonics  Radial-basis-function  neural  network Index. décimale : 621.38 Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X 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

Virtual instrumentation and educational platform for time-varying harmonic and interharmonic detection / Chen, Cheng-I in IEEE transactions on industrial electronics, Vol. 57 N° 10 (Octobre 2010) 

Public ISBD [article]  in IEEE transactions on industrial electronics > Vol. 57 N° 10 (Octobre 2010) . - pp. 3334 - 3342 Titre : Virtual instrumentation and educational platform for time-varying harmonic and interharmonic detection Type de document : texte imprimé Auteurs : Chen, Cheng-I, Auteur ; Chang, Gary W., Auteur Année de publication : 2011 Article en page(s) : pp. 3334 - 3342 Note générale : Génie électrique Langues : Anglais (eng) Mots-clés : Discrete  Fourier  transform  (DFT)  Frequency  identification  Harmonics  Interharmonics  Power  quality Index. décimale : 621.38 Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X Résumé : Selection of a suitable method among various techniques for assessment of harmonic and interharmonic components of a measured voltage or current waveform is not an easy task for the students. A good start is to understand the relationship between the analysis techniques and the measured parameters. In this paper, several commonly used methods for time-varying harmonic and interharmonic detection of measured waveforms are reviewed and implemented in an integrated virtual instrumentation. Compared from the aspect of frequency identification for the reviewed methods, general guidelines for performing harmonic and interharmonic detection are also developed for the educational purpose. DEWEY : 621.38 ISSN : 0278-0046 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5409568 [article] Virtual instrumentation and educational platform for time-varying harmonic and interharmonic detection [texte imprimé] / Chen, Cheng-I, Auteur ; Chang, Gary W., Auteur . - 2011 . - pp. 3334 - 3342. Génie électrique Langues : Anglais (eng) in IEEE transactions on industrial electronics > Vol. 57 N° 10 (Octobre 2010) . - pp. 3334 - 3342 Mots-clés : Discrete  Fourier  transform  (DFT)  Frequency  identification  Harmonics  Interharmonics  Power  quality Index. décimale : 621.38 Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X Résumé : Selection of a suitable method among various techniques for assessment of harmonic and interharmonic components of a measured voltage or current waveform is not an easy task for the students. A good start is to understand the relationship between the analysis techniques and the measured parameters. In this paper, several commonly used methods for time-varying harmonic and interharmonic detection of measured waveforms are reviewed and implemented in an integrated virtual instrumentation. Compared from the aspect of frequency identification for the reviewed methods, general guidelines for performing harmonic and interharmonic detection are also developed for the educational purpose. DEWEY : 621.38 ISSN : 0278-0046 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5409568