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Pattern recognition for diagnosis of inverter fed induction machine drive: a step toward reliability

Claude Delpha 1 Demba Diallo 2 Mohamed Benbouzid 3 Claude Marchand 2
1 L2S - Laboratoire des signaux et systèmes
2 LGEP - Laboratoire de génie électrique de Paris
3 LBMS - Laboratoire brestois de mécanique et des systèmes
Abstract : The aim of this paper is to present a fault detection and isolation procedure on a three phase inverter feeding an induction machine drive. The main goal of this classification is to help the supervising team for the monitoring and also for the maintenance. The monitoring increases the reliability of the drive and the accurate isolation reduces the time to repair and therefore reduces the maintenance cost.
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Conference papers
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https://hal-supelec.archives-ouvertes.fr/hal-00871162
Contributor : Claude Delpha Connect in order to contact the contributor
Submitted on : Wednesday, October 9, 2013 - 12:36:38 AM
Last modification on : Tuesday, October 12, 2021 - 3:03:13 AM

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  • HAL Id : hal-00871162, version 1

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CNRS | UPMC | SUPELEC | SUP_LSS | SUP_TELECOMS | ENSTA-BRETAGNE-LBMS | UNIV-BREST | ENIB | SUP_LGEP | SORBONNE-UNIVERSITE | EC-PARIS

Citation

Claude Delpha, Demba Diallo, Mohamed Benbouzid, Claude Marchand. Pattern recognition for diagnosis of inverter fed induction machine drive: a step toward reliability. IET Colloquium on Reliability in Electromagnetic Systems, May 2007, Paris, France. pp.1-5. ⟨hal-00871162⟩

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