论文信息 - A time-frequency method for multiple fault detection in three-phase induction machines

A time-frequency method for multiple fault detection in three-phase induction machines

It is well known that induction machine stator current is a nonstationary signal and its properties change with respect to operating conditions. The computed spectrum using the fast Fourier transform (FFT) does not provide accurate time-domain information about the operating conditions. As a result, the FFT spectrum analysis makes difficult to recognize fault conditions from the normal operation of the induction machine. A time-frequency approach is proposed in order to track some frequency components associated to electrical and load faults. This method is applied to a 18.5 kW three-phase induction machine with three broken rotor bars and under the effect of load torque variation which can result from a load fault.

[1] Birsen Yazici,et al. An adaptive statistical time-frequency method for detection of broken bars and bearing faults in motors using stator current , 1999 .

[2] Mo-Yuen Chow,et al. Guest editorial special section on motor fault detection and diagnosis , 2000 .

[3] Jim Penman,et al. Induction machine condition monitoring with higher order spectra , 2000, IEEE Trans. Ind. Electron..

[4] W. T. Thomson,et al. Current signature analysis to detect induction motor faults , 2001 .

[5] J. Montaño,et al. Wavelet and neural structure: a new tool for diagnostic of power system disturbances , 2001 .

[6] H. Henao,et al. A frequency-domain detection of stator winding faults in induction machines using an external flux sensor , 2002, Conference Record of the 2002 IEEE Industry Applications Conference. 37th IAS Annual Meeting (Cat. No.02CH37344).