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

R. M. Tallam, Sang Bin Lee, G. Stone, G. B. Kliman, Ji Yoon Yoo, T. G. Habetler, R. G. Harley

Research output: Chapter in Book/Report/Conference proceedingConference contribution

41 Citations (Scopus)

Abstract

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 on-line, sensorless methods that use machine voltages and currents to extract fault signatures, off-line techniques such as partial discharge detection are also examined.

Original languageEnglish
Title of host publicationIEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2003 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages35-46
Number of pages12
ISBN (Print)0780378385, 9780780378384
DOIs
Publication statusPublished - 2003
Event4th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2003 - Stone Mountain, United States
Duration: 2003 Aug 242003 Aug 26

Other

Other4th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2003
CountryUnited States
CityStone Mountain
Period03/8/2403/8/26

Keywords

  • Condition monitoring
  • Fault detection
  • Induction machines
  • Insulation testing
  • Protection
  • Stator cores
  • Stator windings
  • Temperature measurement
  • Temperature sensors
  • Voltage

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality

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