Publication: Online cage rotor fault detection using air-gap torque spectra
Date
01-01-2003
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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.
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Keywords
Air-gap torque estimation, Air-gap torque spectrum, Condition monitoring, Motor current signature analysis, Rotor fault diagnosis