Title :
Induction drive speed monitoring by neural networks
Author :
Raison, B. ; François, F. ; Rostaing, G. ; Rognon, J.P.
Author_Institution :
Lab. d´´Electrotechnique de Grenoble, ENSIEG, Saint Martin d´´Heres, France
Abstract :
This paper presents a fault detection and isolation (FDI) scheme with neural networks dedicated to the faults in the mechanical part of the drive. This method is designed to be suitable for a variable speed drive fed by an electronic device. After a presentation of the models of the drive components, faults characterization is reminded and the FDI scheme is introduced, trained and tested for different speeds
Keywords :
computerised monitoring; diagnostic expert systems; fault location; induction motor drives; neural nets; power engineering computing; variable speed drives; FDI scheme; electronic device; fault characterization; fault detection; fault isolation; induction drive speed monitoring; neural networks; variable speed drive; Analytical models; Cepstral analysis; Circuit faults; Fault detection; Gears; Induction machines; Monitoring; Neural networks; Pulse width modulation inverters; Redundancy;
Conference_Titel :
Industrial Electronics Society, 2000. IECON 2000. 26th Annual Confjerence of the IEEE
Conference_Location :
Nagoya
Print_ISBN :
0-7803-6456-2
DOI :
10.1109/IECON.2000.972235
