Title :
Neural network approach to static converter faults diagnosis
Author_Institution :
Diparimento di Ingegneria Electrica, Genoa Univ.
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;
Conference_Titel :
Industrial Electronics, 1995. ISIE '95., Proceedings of the IEEE International Symposium on
Conference_Location :
Athens
Print_ISBN :
0-7803-7369-3
DOI :
10.1109/ISIE.1995.497025
