Broken rotor bar detection using symbolic wavelet analysis

Rohan Samsi, Jeffrey Mayer, Asok Ray

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

3 Scopus citations

Abstract

Rotor bar faults have been of interest for the past several decades as being one of the major causes of failure in induction machines. This paper provides a powerful yet simple methodology for the detection of these faults. The methodology utilizes a combination of machine modeling concepts along with wavelet and symbolic dynamic analysis to ensure early detection with a low false alarm rate.

Original languageEnglish (US)
Title of host publicationProceedings of the 45th IEEE Conference on Decision and Control 2006, CDC
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4058-4063
Number of pages6
ISBN (Print)1424401712, 9781424401710
DOIs
StatePublished - Jan 1 2006
Event45th IEEE Conference on Decision and Control 2006, CDC - San Diego, CA, United States
Duration: Dec 13 2006Dec 15 2006

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0191-2216

Other

Other45th IEEE Conference on Decision and Control 2006, CDC
CountryUnited States
CitySan Diego, CA
Period12/13/0612/15/06

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

Fingerprint Dive into the research topics of 'Broken rotor bar detection using symbolic wavelet analysis'. Together they form a unique fingerprint.

  • Cite this

    Samsi, R., Mayer, J., & Ray, A. (2006). Broken rotor bar detection using symbolic wavelet analysis. In Proceedings of the 45th IEEE Conference on Decision and Control 2006, CDC (pp. 4058-4063). [4177892] (Proceedings of the IEEE Conference on Decision and Control). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/cdc.2006.377822