Identification of false rotor fault indications produced by online MCSA for medium-voltage induction machines

Sang Bin Lee, Doosoo Hyun, Tae June Kang, Chanseung Yang, Sungsik Shin, Heonyoung Kim, Sungbong Park, Tae Sik Kong, Hee Dong Kim

Research output: Contribution to journalArticlepeer-review

77 Citations (Scopus)


Motor current signature analysis (MCSA) has become an essential part of the preventive maintenance program for monitoring the condition of the rotor cage in medium-voltage induction motors in the pulp and paper industry. However, many cases of false indications due to interference from the motor or the load have been reported. False indications can result in unnecessary inspection and outage costs (false positives) or major repair/replacement costs and loss of production (false negatives). The objective of this paper is to present the potential root causes of false indications and provide guidelines on how commercially available offline and online tests can be applied for identifying false indications from a field engineers' perspective. Case studies of false MCSA indications and results of alternative commercial tests for improving the reliability of the diagnosis are provided through measurements on 6.6-kV and laboratory motor samples. Finally, new test methods under research and development for reliable rotor fault detection are summarized, and unresolved problems are listed. This paper is expected to help field maintenance engineers prevent unnecessary motor inspection and forced outages and guide researchers target future research toward industrial needs.

Original languageEnglish
Article number7177055
Pages (from-to)729-739
Number of pages11
JournalIEEE Transactions on Industry Applications
Issue number1
Publication statusPublished - 2016 Jan 1

Bibliographical note

Publisher Copyright:
© 1972-2012 IEEE.


  • Fault diagnosis
  • Induction motor
  • Monitoring
  • Rotor testing
  • Spectral analysis

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering


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