Brief Review of Fault Detection and Classification in Induction Motor

Authors

  • Priyanka Gandhi YMCA university of Science & technology
  • Neelam Turk
  • Ratna Dahiya

DOI:

https://doi.org/10.37591/joeam.v10i1.2497

Keywords:

Sources of machine faults, internal faults, external faults, non destructive analysis, motor current signature analysis

Abstract

Induction motors are operating as the support system for each industry. But like every different machine, due to serious duty cycles, poor operating atmosphere, installation and manufacturing factors, they gradually slow down or sometimes fail. That is why, diagnosis methods that are competent to sense the motor failures are necessary in order to increase the safety and the performances of with increasing needs for reliability and efficiency, the field of fault analysis in induction motor. Three-stage induction motor is the major running part in the industries and is the most applied electrical machine. So, detection of faults within the motor is incredibly necessary so as to enhance the performance of the induction motor, avoid the production loss and additionally, to minimize the operational prices. The finite part analysis and the additionally associated numerical models symbolize not solely a contemporary technology of induction motor computer-assisted style and optimization, however also a robust and really capable orientation within the analysis and detection of various faults related to the motor operation.

References

Priyanka Gandhi, Neelam Turk, Ratna Dahiya. Brief Review of Fault Detection and Classification in Induction Motor. Journal of Experimental & Applied Mechanics. 2019; 10(1): 1–6p.

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Published

2019-05-01

Issue

Vol. 10 No. 1 (2019)

Section

Review Article

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