Current-Based Algorithm for Mechanical Fault Detection in Induction Motors with Arbitrary Load Conditions

Ramzy R. Obaid, Thomas G. Habetler

Research output: Contribution to journalConference articlepeer-review

38 Scopus citations

Abstract

Mechanical faults in induction motors can be detected by monitoring specific components in the stator current frequency spectrum. Previous work tested some mechanical conditions for the cases of no-load and full-load conditions in small induction motors, assuming that the effect of load on the detection scheme between these two conditions is linear. This paper presents an algorithm for detecting mechanical conditions in induction motors under any load condition using spectral analysis of the stator current. The proposed algorithm takes into account the load related abnormalities and resonance by classifying the load-levels into bins and calculating a baseline for each load bin.

Original languageBritish English
Pages (from-to)1347-1351
Number of pages5
JournalConference Record - IAS Annual Meeting (IEEE Industry Applications Society)
Volume2
StatePublished - 2003
Event2003 IEEE Industry Applications Conference; 38th IAS Annual Meeting: Crossroads To Innovation - Salt Lake City, UT, United States
Duration: 12 Oct 200316 Oct 2003

Keywords

  • Condition monitoring
  • Electric machines
  • Fault detection
  • Induction motor diagnostics

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