A simplified technique for detecting mechanical faults using stator current in small induction motors

This paper shows that mechanical faults in small induction machines can be detected with adequate sensitivity by merely monitoring the RMS value of the stator current over a certain frequency range. Furthermore, a simple technique for mechanical fault detection using stator current is presented for the case wherein spectral monitoring is necessary. Experimental results for different types of mechanical faults, namely, rotor unbalances and shaft misalignments, are shown.

[1]  Kwanghee Nam,et al.  Diagnosis of rotating machines by utilizing a backpropagation neural net , 1992, Proceedings of the 1992 International Conference on Industrial Electronics, Control, Instrumentation, and Automation.

[2]  W. T. Thomson,et al.  Vibration and current monitoring for detecting airgap eccentricity in large induction motors , 1986 .

[3]  Thomas G. Habetler,et al.  An unsupervised, on-line system for induction motor fault detection using stator current monitoring , 1994, Proceedings of 1994 IEEE Industry Applications Society Annual Meeting.

[4]  F. Filippetti,et al.  Neural networks aided on-line diagnostics of induction motor rotor faults , 1993, Conference Record of the 1993 IEEE Industry Applications Conference Twenty-Eighth IAS Annual Meeting.

[5]  J.F. Watson,et al.  Improved techniques for rotor fault detection in three-phase induction motors , 1998, Conference Record of 1998 IEEE Industry Applications Conference. Thirty-Third IAS Annual Meeting (Cat. No.98CH36242).

[6]  Randy R. Schoen On-line current-based condition monitoring of three-phase induction machines , 1994 .