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Induction drive speed monitoring by neural networks

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4 Author(s)
Raison, B. ; Lab. d''Electrotechnique de Grenoble, ENSIEG, Saint Martin d''Heres, France ; Francois, F. ; Rostaing, G. ; Rognon, J.P.

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

Published in:

Industrial Electronics Society, 2000. IECON 2000. 26th Annual Confjerence of the IEEE  (Volume:2 )

Date of Conference: