Detecting Faults Based on Motor Current Signature Analysis for Electric Motor

Abstract

Motor electrical current signature analysis (MCSA) is sensing an electrical signal containing current components that are direct by-product of unique rotating flux components. Anomalies in operation of the motor modify harmonic content of motor supply current. Inductions motor drives are the most widely used electrical drive system and typically consume 40 to 50 percent of an industrialized nation’s total generating capacity. Induction motors have applications in the field of transportation, manufacturing, mining, and petrochemical and in almost every other fields dealing with electrical power. So, condition monitoring and fault diagnosis become necessary to monitor the health of the machine. The present paper discusses the fundamentals of Motor Current Signature Analysis and fault detection of the induction motor using MCSA.

Authors and Affiliations

Sayli A. Deshmukh, A. R. Askhedkar

Keywords

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  • EP ID EP391588
  • DOI 10.9790/9622-0707047579.
  • Views 102
  • Downloads 0

How To Cite

Sayli A. Deshmukh, A. R. Askhedkar (2017). Detecting Faults Based on Motor Current Signature Analysis for Electric Motor. International Journal of engineering Research and Applications, 7(7), 75-79. https://europub.co.uk/articles/-A-391588