Diagnosis of stator short-circuit faults in an IPM synchronous machine using a space-vector pendulous oscillation method

Experimental characterization of interior permanent magnet (IPM) synchronous machines experiencing winding short-circuit faults is necessary in developing diagnostics indices to be used in detecting short-circuit winding faults. Known fault indices include the current spectrum analysis, the negative-sequence components method, and the space-vector based pendulous oscillation method. This paper applies all three methods to experimental turn-to-turn short-circuit fault data acquired from a 3.5 hp IPM motor energized by a PWM voltage source inverter. The results are compared and analyzed, and since none of the three methods presented unambiguously demonstrate the existence of a winding short-circuit fault, the practical difficulties of short-circuit fault detection and mitigation are discussed in that light.

[1]  Alan V. Oppenheim,et al.  Discrete-time Signal Processing. Vol.2 , 2001 .

[2]  Jun Kang.  General Purpose Permanent Magnet Motor Drive without Speed and Position Sensor , 2009 .

[3]  S. Nandi,et al.  A detailed model of induction machines with saturation extendable for fault analysis , 2004, IEEE Transactions on Industry Applications.

[4]  Peter Vas,et al.  Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines , 1993 .

[5]  Gojko Joksimovic,et al.  The detection of inter-turn short circuits in the stator windings of operating motors , 2000, IEEE Trans. Ind. Electron..

[6]  R. M. Tallam,et al.  A robust, on-line turn-fault detection technique for induction machines based on monitoring the sequence component impedance matrix , 2003 .

[7]  A. Cardoso,et al.  Diagnosis of stator inter-turn short circuits in DTC induction motor drives , 2004, IEEE Transactions on Industry Applications.

[8]  D. K. Perovic,et al.  Online stator fault diagnosis in induction motors , 2001 .

[9]  B. Mirafzal,et al.  Interturn Fault Diagnosis in Induction Motors Using the Pendulous Oscillation Phenomenon , 2006, IEEE Transactions on Energy Conversion.

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

[11]  B. Mirafzal,et al.  On innovative methods of induction motor inter-turn and broken-bar fault diagnostics , 2005, IEEE International Conference on Electric Machines and Drives, 2005..

[12]  G. Joksimovic,et al.  The detection of interturn short circuits in the stator windings of operating motors , 1998, IECON '98. Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.98CH36200).

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

[14]  Johan Gyselinck,et al.  An on-line method for stator fault detection in multi-phase PMSM drives , 2010, 2010 IEEE Vehicle Power and Propulsion Conference.

[15]  Qing Wu,et al.  Fast Single-Turn Sensitive Stator Inter-Turn Fault Detection of Induction Machines Based on Positive and Negative Sequence Third Harmonic Components of Line Currents , 2008, 2008 IEEE Industry Applications Society Annual Meeting.

[16]  R. M. Tallam,et al.  A robust, on-line turn-fault detection technique for induction machines based on monitoring the sequence component impedance matrix , 2001, 2001 IEEE 32nd Annual Power Electronics Specialists Conference (IEEE Cat. No.01CH37230).