Online cage rotor fault detection using air-gap torque spectra

Vinod V. Thomas, Krishna Vasudevan, V. Jagadeesh Kumar

Research output: Contribution to journalArticle

54 Citations (Scopus)

Abstract

This paper discusses use of air-gap torque spectra as a means of identifying faults in cage rotors. Being dependent on both stator and rotor currents, the torque is very sensitive to faults in the rotor. Through a comparative study using a detailed machine model and the standard dq model, the paper shows that the characteristic frequencies generated by a particular fault are preserved even if the standard dq model is used for estimation of air-gap torque. This is validated through a practical hardware implementation for online spectrum estimation of air-gap torque using TMS320C31, where several faulted cage rotors were used for study.

Original languageEnglish
Pages (from-to)265-270
Number of pages6
JournalIEEE Transactions on Energy Conversion
Volume18
Issue number2
DOIs
Publication statusPublished - 2003

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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