Details for Paper Id: 61

Title: Induction Motor Fault Diagnosis by Motor Current Signature Analysis and Neural Network Techniques
Abstract: Early detection of faults occurring in three-phase induction motors can appreciably reduce the costs of maintenance, which could otherwise be too much costly to repair. Internal faults in three phase induction motors can result in significant performance degradation and eventual system failures. Artificial intelligence techniques have numerous advantages over conventional Model-based and Signal Processing fault diagnostic approaches; therefore, in this paper, a soft-computing system was studied through Neural Network Analysis to detect and diagnose the stator and rotor faults. The fault diagnostic system for three-phase induction motors sampl
Keywords Condition Monitoring, Fault Di
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Uploader's ID 31
Submission Time 2015-02-28 22:12:58
Paper Review Status 5