STATOR FAILURES AND DIAGNOSTIC NEURAL-BASED METHODS IN 3-PHASE SQUIRREL-CAGE INDUCTION MOTORS

Document Type : Original Article

Authors

1 Professor, Dpt. of Electrical Engineering, Alexandria University, Alexandria, Egypt.

2 PhD., Dpt. of Electrical Engineering, Alexandria University, Alexandria, Egypt.

3 PhD., Air Defense College, Alexandria, Egypt.

4 Graduate Student, Air Defense College, Alexandria, Egypt.

Abstract

This paper presents the stator winding fault detection. Stator failures are classified. Effect's of various stresses on the stator lifetime and how do causes contribute to stator failure are studied. A technique known as model-based diagnostic technique is used to study the behavior of the stator under abnormal conditions. The squirrel-cage induction motor is taken as a case study for practical verification. A neural-based diagnosis for the stator failures has been carried out. The algorithm has proven adequacy in predicting stator faults.

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