An assessment of vibration monitoring as an effective tool for induction motor condition monitoring and fault diagnosis: A brief review

Prashant Kumar, Ashish Kumar Sinha, Tarun Kumar Chatterjee

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Research has advanced leaps and bounds in the area of fault detection of induction motors (IMs). Now-a-days, great emphasis is being laid on online and automated fault detection system of induction motors. In this regard, analysis of line current for fault detection and other signals such as vibration and power, axial leakage flux and partial discharge have been extensively explored. An effective condition monitoring algorithm with the choice of the right parameter to diagnose the various faults in IMs in incipient stages shall minimize unwanted downtime considerably and will help in achieving optimum levels of production. So keeping in mind the vast scope of this area of research, a review paper compiling the various literatures regarding the different fault monitoring machine parameters is presented. This study will reflect a broad perspective regarding the present status of the area of research at hand and will aid future researchers to comprehend the scope in this area at a glimpse.

Original languageEnglish
Pages (from-to)407-416
Number of pages10
JournalInternational Journal of Control Theory and Applications
Volume9
Issue number41
StatePublished - 2016

Keywords

  • Condition monitoring
  • Current monitoring
  • Induction motor
  • Vibration monitoring

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