Induction machine fault identification using particle swarm algorithms

S. A. Ethny, P. P. Acarnley, B. Zahawi, D. Giaouris

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

The principles of a new technique using particle swarm algorithms for condition monitoring of the stator and rotor circuits of an induction machine is described in this paper. Using terminal voltage and current data, the stochastic optimization technique is able to indicate the presence of a fault and provide information about the location and nature of the fault. The technique is demonstrated using experimental data from a laboratory machine with both stator and rotor winding faults.

Original languageBritish English
Title of host publication2006 International Conference on Power Electronics, Drives and Energy Systems, PEDES '06
DOIs
StatePublished - 2006
Event2006 International Conference on Power Electronics, Drives and Energy Systems, PEDES '06 - New Delhi, India
Duration: 12 Dec 200615 Dec 2006

Publication series

Name2006 International Conference on Power Electronics, Drives and Energy Systems, PEDES '06

Conference

Conference2006 International Conference on Power Electronics, Drives and Energy Systems, PEDES '06
Country/TerritoryIndia
CityNew Delhi
Period12/12/0615/12/06

Keywords

  • Condition monitoring
  • Induction machine
  • Stochastic optimization
  • Swarm algorithms

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