Stator winding turn-fault detection for closed-loop induction motor drives

Sensorless diagnostics for line-connected machines is based on extracting fault signatures from the spectrum of the line currents. However, for closed-loop drives, the power supply is a regulated current source and hence, the motor voltages must also be monitored for fault information. In this paper, a previously proposed neural network scheme for turn fault detection in line-connected induction machines is extended to inverter-fed machines, with special emphasis on closed-loop drives. Experimental results are provided to illustrate that the method is impervious to machine and instrumentation nonidealities, and that it requires lesser data memory and computation requirements than existing schemes, which are based on data look-up tables.

[1]  Thomas G. Habetler,et al.  Transient model for induction machines with stator winding turn faults , 2000, Conference Record of the 2000 IEEE Industry Applications Conference. Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129).

[2]  William James Premerlani,et al.  A new approach to on-line turn fault detection in AC motors , 1996, IAS '96. Conference Record of the 1996 IEEE Industry Applications Conference Thirty-First IAS Annual Meeting.

[3]  Thomas M. Wolbank,et al.  On-line stator winding faults detection in inverter fed induction motors by stator current reconstruction , 1999, IEMDC 1999.

[4]  T.G. Habetler,et al.  Insulation failure detection in the stator windings of ASD-driven induction machines using standard deviation of line currents , 1998, Conference Record of 1998 IEEE Industry Applications Conference. Thirty-Third IAS Annual Meeting (Cat. No.98CH36242).

[5]  S. Williamson,et al.  Analysis of Cage Induction Motors with Stator Winding Faults , 1985, IEEE Power Engineering Review.

[6]  T. G. Habetler,et al.  Continual on-line training of neural networks with applications to electric machine fault diagnostics , 2001, 2001 IEEE 32nd Annual Power Electronics Specialists Conference (IEEE Cat. No.01CH37230).

[7]  T. G. Habetler,et al.  Neural network based on-line stator winding turn fault detection for induction motors , 2000, Conference Record of the 2000 IEEE Industry Applications Conference. Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129).

[8]  J. L. Kohler,et al.  Experimental investigation of on-line methods for incipient fault detection [in induction motors] , 2000, Conference Record of the 2000 IEEE Industry Applications Conference. Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129).