A comparison of phase space reconstruction and spectral coherence approaches for diagnostics of bar and end-ring connector breakage faults in polyphase induction motors using current waveforms

Richard J. Povinelli, Michael T. Johnson, John F. Bangura, Nabeel A.O. Demerdash

Research output: Contribution to journalConference articlepeer-review

5 Scopus citations

Abstract

Two signal (waveform) analysis approaches are investigated in this paper for motor-drive fault identification - one linear and the other nonlinear. Twenty-one different motor-drive operating conditions including healthy, 1 through 10 broken bars, and 1 through 10 broken end-ring connectors are investigated. Highly accurate numerical simulations of current waveforms for the various operating conditions are generated using the Time Stepping Coupled Finite Element - State Space method for a 208-volt, 60-Hz, 2-pole, 1.2-hp, squirrel cage 3-phase induction motor. The linear signal analysis method is based on spectral coherence, whereas the nonlinear signal analysis method is based on stochastic models of reconstructed phase spaces. Conclusions resulting from the comparisons of these two methods are drawn.

Original languageEnglish
Pages (from-to)1541-1547
Number of pages7
JournalConference Record - IAS Annual Meeting (IEEE Industry Applications Society)
Volume3
StatePublished - 2002
Event37th IAS Annual Meeting and World Conference on Industrial applications of Electrical Energy - Pittsburgh, PA, United States
Duration: Oct 13 2002Oct 18 2002

Keywords

  • Dynamical systems analysis
  • Electric drives
  • Fault diagnosis
  • Induction motors
  • Spectral coherence
  • State space methods
  • Time stepping finite elements

ASJC Scopus subject areas

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

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