Title :
A procedure of fault detection for driving systems using self-organizing neural networks
Author :
Puscasu, Gheorghe ; Palade, Vasile ; Stancu, Alexandru
Author_Institution :
Fac. of Electr. Eng., Dunarea de Jos Univ. of Galati, Romania
Abstract :
In the paper, the authors propose a neural network-based procedure for the recognition of faults in a DC motor drive system. The analysis procedure of the faults can be used to warn the human user when a new class of faults is detected.
Keywords :
DC motor drives; electric machine analysis computing; fault diagnosis; learning (artificial intelligence); machine theory; self-organising feature maps; DC motor drive system; analysis procedure; fault class; fault detection; fault recognition; self-organizing neural networks; DC motors; Data mining; Equations; Fault detection; Fault diagnosis; Induction motors; Neural networks; Optimization methods; Pattern recognition; Transfer functions;
Conference_Titel :
Electrotechnical Conference, 2000. MELECON 2000. 10th Mediterranean
Print_ISBN :
0-7803-6290-X
DOI :
10.1109/MELCON.2000.879966
