DocumentCode
1578678
Title
Neural network approach to static converter faults diagnosis
Author
Martscotti, A.
Author_Institution
Diparimento di Ingegneria Electrica, Genoa Univ.
Volume
1
fYear
34881
Firstpage
375
Abstract
A neural network based-diagnostic system is presented for a three-phase cycloconverter feeding a reactive load. The cyclodrive is monitored by the harmonic analysis of input and output waveforms via a FFT algorithm. The neural diagnostic system is shown to be effective under several different cyclodrive operating conditions
Keywords
cycloconvertors; electric machine analysis computing; fast Fourier transforms; fault diagnosis; harmonic analysis; neural nets; FFT algorithm; cyclodrive operating conditions; faults diagnosis; harmonic analysis; input waveforms; neural network; output waveforms; reactive load; three-phase cycloconverter; Artificial intelligence; Artificial neural networks; Bridge circuits; Fault detection; Fault diagnosis; Monitoring; Neural networks; Pattern recognition; Quantum cascade lasers; Voltage control;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics, 1995. ISIE '95., Proceedings of the IEEE International Symposium on
Conference_Location
Athens
Print_ISBN
0-7803-7369-3
Type
conf
DOI
10.1109/ISIE.1995.497025
Filename
497025
Link To Document