Online cage rotor fault detection using air-gap torque spectra

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

Research output: Contribution to journalArticle

51 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

Fingerprint

Fault detection
Torque
Rotors
Air
Stators
Hardware

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

Thomas, Vinod V. ; Vasudevan, Krishna ; Kumar, V. Jagadeesh. / Online cage rotor fault detection using air-gap torque spectra. In: IEEE Transactions on Energy Conversion. 2003 ; Vol. 18, No. 2. pp. 265-270.
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Online cage rotor fault detection using air-gap torque spectra. / Thomas, Vinod V.; Vasudevan, Krishna; Kumar, V. Jagadeesh.

In: IEEE Transactions on Energy Conversion, Vol. 18, No. 2, 2003, p. 265-270.

Research output: Contribution to journalArticle

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