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Rotor fault diagnosis in a Squirrel-Cage Induction Machine using support vector

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6 Author(s)
S. Hamdani ; Electrical and industrial systems laboratory, USTHB Houari Boumedien University of Science and Technology, BP 32 El Alia 16111 Bab Ezzouar Algiers Algeria ; H. Mezerreg ; B. Boutikar ; N. Lahcene
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This paper deals with the diagnosis of electrical defects of Squirrel-Cage Rotor Induction Machines (IMs). The failures of induction machine and the diagnosis methods are presented. Among the methods, Motor Current Signature Analysis (MCSA) is used in the experimental study to detect broken rotor bars and end-ring segment. The load level and the load effects on the diagnosis are also studied. Support vector machines (SVM) is applied to classify faults.

Published in:

Electrical Machines (ICEM), 2012 XXth International Conference on

Date of Conference:

2-5 Sept. 2012