The use of features selection and nearest neighbors rule for faults diagnostic in induction motors-Reference-Cited by-同舟云学术

The use of features selection and nearest neighbors rule for faults diagnostic in induction motors

Published:2006-03 Issue:2 Volume:19 Page:169-177
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Casimir R.,Boutleux E.,Clerc G.,Yahoui A.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference21 articles.

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2. Induction motor's faults detection and localization, using stator current advanced signal processing techniques;Benbouzid;IEEE Transactions on Power Electronics,1999

3. Rotor resistance estimation by non linear observer for diagnostic and control systems;Boumegoura;JESA,2000

4. Casimir, R., Boutleux, E., Clerc, G., Chappuis, F., 2002. Comparative study of diagnosis methods for induction motors. Proceeding of the International Conference on Electrical Machine, 465–470, Bruges (Belgium), July 2002.

5. On optimum recognition error and reject trade-off;Chow;IEEE Transaction on Information Theory, IT,1970

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