Online cage rotor fault detection using air-gap torque spectra

Author

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

Author_Institution

Dept. of Electr. Eng., Indian Inst. of Technol. Madras, Chennai, India

Volume

18

Issue

2

fYear

2003

fDate

6/1/2003 12:00:00 AM

Firstpage

265

Lastpage

270

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.

Keywords

fault diagnosis; machine theory; rotors; squirrel cage motors; stators; torque; TMS320C31; air-gap torque spectra; fault identification; machine model; online cage rotor fault detection; rotor currents; standard dq model; stator currents; Air gaps; Character generation; Fault detection; Fault diagnosis; Frequency estimation; Hardware; Rotors; Spectral analysis; Stators; Torque;

fLanguage

English

Journal_Title

Energy Conversion, IEEE Transactions on

Publisher

ieee

ISSN

0885-8969

Type

jour

DOI

10.1109/TEC.2003.811718

Filename

1201099