A survey of methods for detection of stator-related faults in induction machines

Rangarajan M. Tallam, Sang Bin Lee, Greg C. Stone, Gerald B. Kliman, Jiyoon Yoo, Thomas G. Habetler, Ronald G. Harley

Research output: Contribution to journalArticlepeer-review

254 Citations (Scopus)


As evidenced by industrial surveys, stator-related failures account for a large percentage of faults in induction machines. The objective of this paper is to provide a survey of existing techniques for detection of stator-related faults, which include stator winding turn faults, stator core faults, temperature monitoring and thermal protection, and stator winding insulation testing. The root causes of fault inception, available techniques for detection, and recommendations for further research are presented. Although the primary focus is online and sensorless methods that use machine voltages and currents to extract fault signatures, offline techniques such as partial discharge detection are also examined.

Original languageEnglish
Pages (from-to)920-933
Number of pages14
JournalIEEE Transactions on Industry Applications
Issue number4
Publication statusPublished - 2007 Jul

Bibliographical note

Funding Information:
Paper IPCSD-07-006, presented at the 2003 IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, Stone Mountain, GA, August 24–26, and approved for publication in the IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS by the Electric Machines Committee of the IEEE Industry Applications Society. Manuscript submitted for review March 2004 and released for publication February 3, 2007. The work of S. B. Lee and J. Yoo was supported by the Ministry of Commerce, Industry, and Energy (MOCIE) through the Electrical Industry Research Center (EIRC) program with the Advanced Power Systems Research Center at Korea University.


  • Condition monitoring
  • Fault diagnostics
  • Insulation testing
  • Interlaminar core faults
  • Partial discharge (PD)
  • Temperature monitoring
  • Turn faults

ASJC Scopus subject areas

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


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