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Abdelghani Chahmi
University of Science and Technology of Oran
Computer Science & IT Electrical & Electronics Engineering

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Journal : International Journal of Electrical and Computer Engineering

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An Extender Kalman Filter-based Induction Machines Faults Detection Abdelghani Chahmi; Mokhtar Bendjebbar; Bertrand Raison; Mohamed Benbouzid
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 2: April 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (497.081 KB) | DOI: 10.11591/ijece.v6i2.pp535-548

Abstract

This paper deals with the detection and localization of electrical drives faults, especially those containing induction machines. First, the context of the study is presented and an Extended Kalman Filter is described for induction machines fault detection. Then the modeling procedure under faulty conditions is shown, and the machine diagnosis methods are developed. The proposed diagnosis approach requires only little experimental data, and more importantly it provides efficient simulation tools that allow characterizing faulty behavior.Fault detection uses signal processing techniques in known operating phases (fixed speed), considering and locating malfunctions.
Co-Authors Bertrand Raison Mohamed Benbouzid Mokhtar Bendjebbar