Automated detection of rotor faults for inverter-fed induction machines under standstill conditions

Byunghwan Kim, Kwanghwan Lee, Jinkyu Yang, Sang Bin Lee, Ernesto J. Wiedenbrug, Manoj R. Shah

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

13 Citations (Scopus)

Abstract

It is difficult to apply conventional on-line MCSA techniques for diagnosis of rotor faults for closed loop induction motor drives for many applications due to the masking effect of the feedback current controller and/or variable frequency or load operation. Relying solely on traditional off-line inspection techniques during regular maintenance does not allow frequent monitoring of rotor problems and is inconvenient since it requires rotor disassembly and/or manual rotor rotation. In this paper, a new automated technique for testing inverter-fed squirrel cage induction machines at standstill for rotor faults is proposed. The main concept is to use the inverter to excite the machine with a pulsating field at a number of angular positions to observe the variation in the impedance pattern due to broken rotor bars, whenever the motor is stopped. An experimental study on a 7.5hp induction motor verifies that broken bars can be detected with high sensitivity and reliability. It will be shown that the proposed method can provide automated and reliable assessment of rotor condition frequently without motor disassembly, manual rotation, or additional instrumentation. The proposed test can also provide rotor quality assessment independent of variations in motor or load operating conditions since it is a standstill test.

Original languageEnglish
Title of host publication2009 IEEE Energy Conversion Congress and Exposition, ECCE 2009
Pages2277-2284
Number of pages8
DOIs
Publication statusPublished - 2009
Event2009 IEEE Energy Conversion Congress and Exposition, ECCE 2009 - San Jose, CA, United States
Duration: 2009 Sep 202009 Sep 24

Publication series

Name2009 IEEE Energy Conversion Congress and Exposition, ECCE 2009

Other

Other2009 IEEE Energy Conversion Congress and Exposition, ECCE 2009
CountryUnited States
CitySan Jose, CA
Period09/9/2009/9/24

Keywords

  • AC machine
  • Broken rotor bar
  • Condition monitoring
  • Diagnostics
  • Induction motor
  • Inverter
  • Off-line testing
  • Pulsating magnetic field
  • Squirrel cage rotor

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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  • Cite this

    Kim, B., Lee, K., Yang, J., Lee, S. B., Wiedenbrug, E. J., & Shah, M. R. (2009). Automated detection of rotor faults for inverter-fed induction machines under standstill conditions. In 2009 IEEE Energy Conversion Congress and Exposition, ECCE 2009 (pp. 2277-2284). [5316465] (2009 IEEE Energy Conversion Congress and Exposition, ECCE 2009). https://doi.org/10.1109/ECCE.2009.5316465