Induction machine broken-bar fault diagnosis using the rotor magnetic field space-vector orientation

A new technique based on rotor magnetic field space vector orientation is presented to diagnose broken-bar faults in induction machines operating at steady state. In this technique, stator currents and voltages are used as inputs to compute and subsequently observe the rotor magnetic field orientation, which has a more significant "swing-like" pendulous oscillation in case of broken-bar faults than in healthy operation. It will be shown here that the range of this "pendulous oscillation" is a function of the number of broken bars. Also in this technique, it was found that an inter-turn shorted stator-winding fault, which exhibits similar pendulous oscillation, could be distinguished from rotor broken-bar faults through the use of a variance index. In order to validate this method, experimental evidence is given here for several broken-bar cases in a 2-hp three-phase two-pole squirrel-cage induction machine.

[1]  Behrooz Mirafzal,et al.  A nonlinear controller for current source inverter induction motor drive systems , 2003, IEEE International Electric Machines and Drives Conference, 2003. IEMDC'03..

[2]  Mohamed Benbouzid,et al.  Bibliography on induction motors faults detection and diagnosis , 1999 .

[3]  M. Arkan,et al.  Induction motor fault detection by space vector angular fluctuation , 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).

[4]  Hamid A. Toliyat,et al.  Transient analysis of cage induction machines under stator, rotor bar and end ring faults , 1995 .

[5]  N. A. O. Demerdash,et al.  Diagnostics of Bar and End-Ring Connector Breakage Faults in Polyphase Induction Motors through a Novel Dual Track of Time-Series Data Mining and Time-Stepping Coupled FE-State Space Modeling , 2002, IEEE Power Engineering Review.

[6]  Alberto Bellini,et al.  Quantitative Evaluation of Induction Motor Broken Bars By Means of Electric Signals Signatures , 2001 .

[7]  Peter Vas,et al.  Electrical Machines and Drives: A Space-Vector Theory Approach , 1993 .

[8]  Nabeel A. O. Demerdash,et al.  Diagnostics of bar and end-ring connector breakage faults in polyphase induction motors through a novel dual track of time-series data mining and time-stepping coupled FE-state space modeling , 2001, IEMDC 2001. IEEE International Electric Machines and Drives Conference (Cat. No.01EX485).

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

[10]  Hamid A. Toliyat,et al.  Pattern recognition-a technique for induction machines rotor broken bar detection , 2002, 2002 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.02CH37309).

[11]  Nabeel A. O. Demerdash,et al.  Diagnosis and characterization of effects of broken bars and connectors in squirrel-cage induction motors by a time-stepping coupled finite element-state space modeling approach , 1999 .

[12]  Thomas G. Habetler,et al.  Stator winding turn-fault detection for closed-loop induction motor drives , 2002 .

[13]  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).

[14]  M. Haji,et al.  Pattern Recognition-A Technique for Induction Machines Rotor Broken Bar Detection , 2001, IEEE Power Engineering Review.