Abstract: Rotating electrical machine plays an important role in electrical industry. Of all the motors the role of induction motors in industry has been greatly increased due to their simple construction, reliability, robustness and easy maintenance. Various faults like stator faults, broken rotor bar faults, rotor eccentricity, winding and bearing faults can occur during normal operation of the motor. Since the motor current plays a vital role for detecting the incipient fault, the Motor Current Signature Analysis (MCSA) is considered to be the most popular fault detection method to detect the common machine fault. The subject of fault detection and monitoring has been the focus of many investigations and research and still, improved techniques are to be researched for reliable performance and improved efficiency. This literature presents the basics of MCSA as a tool for detecting the health of the electrical machine.
Keywords: Induction machine, fault detection, Condition monitoring, Motor Current Signature Analysis.
Title: Motor Current Signature Analysis as a Tool for Induction Machine Fault Diagnosis
Author: Alka Thakur, Dr. S. Wadhwani, Dr. A.K. Wadhwani
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), SSN 2348-120X (online)
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