Detection and classification of stator turn faults and high resistance electrical connections for induction machines

Jangho Yun, Kwanghwan Lee, Kwangwoon Lee, Sang Bin Lee, Jiyoon Yoo

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

1 Citation (Scopus)

Abstract

The goal of stator winding turn fault detection is to detect the fault at an early stage, and shut down the machine immediately to prevent catastrophic motor failure due to the large fault current. A number of turn fault detection techniques have been proposed; however, there is currently no method available for distinguishing turn faults from high-resistance(R) connections, which also result in 3 phase system asymmetry. It is important to distinguish the two faults since a high-R connection does not necessarily require immediate motor shutdown. In this paper, new sensorless on-line monitoring techniques for detecting and classifying stator turn faults and high-R electrical connections in induction machines based on the zero sequence voltage or negative sequence current measurements are proposed. An experimental study on a 10 hp induction motor performed under simulated turn faults and high-resistance circuit conditions verifies that the two faults can be reliably detected and classified. The proposed technique helps improve the reliability, efficiency, and safety of the motor system and industrial plant, and also allows maintenance to be performed in a more efficient manner since the course of action can be determined based on the type and severity of the fault

Original languageEnglish
Title of host publicationConference Record of the 2007 IEEE Industry Applications Conference 42nd Annual Meeting, IAS
Pages1923-1931
Number of pages9
DOIs
Publication statusPublished - 2007
Event2007 IEEE Industry Applications Conference 42nd Annual Meeting, IAS - New Orleans, LA, United States
Duration: 2007 Sep 232007 Sep 27

Publication series

NameConference Record - IAS Annual Meeting (IEEE Industry Applications Society)
ISSN (Print)0197-2618

Other

Other2007 IEEE Industry Applications Conference 42nd Annual Meeting, IAS
CountryUnited States
CityNew Orleans, LA
Period07/9/2307/9/27

Keywords

  • AC electric machines
  • Condition monitoring
  • Diagnostics
  • Electrical distribution system
  • High resistance connection
  • Induction machine
  • Inter-turn insulation failure
  • Symmetrical components
  • Turn fault

ASJC Scopus subject areas

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

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  • Cite this

    Yun, J., Lee, K., Lee, K., Lee, S. B., & Yoo, J. (2007). Detection and classification of stator turn faults and high resistance electrical connections for induction machines. In Conference Record of the 2007 IEEE Industry Applications Conference 42nd Annual Meeting, IAS (pp. 1923-1931). [4348042] (Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)). https://doi.org/10.1109/IAS.2007.293