Detection of Stator Winding Inter-Turn Short Circuit Faults in Permanent Magnet Synchronous Motors and Automatic Classification of Fault Severity via a Pattern Recognition System

In this study, automatic detection of stator winding inter-turn short circuit fault (SWISCFs) in surface-mounted permanent magnet synchronous motors (SPMSMs) and automatic classification of fault severity via a pattern recognition system (PRS) are presented. In the case of a stator short circuit fault, performance losses become an important issue for SPMSMs. To detect stator winding short circuit faults automatically and to estimate the severity of the fault, an artificial neural network (ANN)-based PRS was used. It was found that the amplitude of the third harmonic of the current was the most distinctive characteristic for detecting the short circuit fault ratio of the SPMSM. To validate the proposed method, both simulation results and experimental results are presented.

[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]  Jordi-Roger Riba,et al.  Detection of interturn faults in PMSMs with different winding configurations , 2014 .

[3]  D. Muthumuni,et al.  A synchronous machine model to analyze internal faults , 2001, Conference Record of the 2001 IEEE Industry Applications Conference. 36th IAS Annual Meeting (Cat. No.01CH37248).

[4]  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.

[5]  Abdellatif Miraoui,et al.  Modelling and simulation of stator winding inter‐turn faults in permanent magnet synchronous motors , 2008 .

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

[7]  Mohamed El Hachemi Benbouzid.  A review of induction motors signature analysis as a medium for faults detection , 2000, IEEE Trans. Ind. Electron..

[8]  T.G. Habetler,et al.  Incipient Bearing Fault Detection via Motor Stator Current Noise Cancellation Using Wiener Filter , 2009, IEEE Transactions on Industry Applications.

[9]  Wei Zhou,et al.  Bearing Fault Detection Via Stator Current Noise Cancellation and Statistical Control , 2008, IEEE Transactions on Industrial Electronics.

[10]  A. W. M. van den Enden,et al.  Discrete Time Signal Processing , 1989 .

[11]  J. Douglas.  Hydro Generator Failure , 1988, IEEE Power Engineering Review.

[12]  C. A. Gross,et al.  Time domain solutions for faulted power systems using detailed synchronous machine models , 1990, [1990] Proceedings. The Twenty-Second Southeastern Symposium on System Theory.

[13]  Jun-Hyuk Choi,et al.  Development and Analysis of Interturn Short Fault Model of PMSMs With Series and Parallel Winding Connections , 2014, IEEE Transactions on Power Electronics.

[14]  J. Penman,et al.  Detection and location of interturn short circuits in the stator windings of operating motors , 1994 .

[15]  Hamid A. Toliyat,et al.  Condition monitoring and fault diagnosis of electrical machines-a review , 1999, Conference Record of the 1999 IEEE Industry Applications Conference. Thirty-Forth IAS Annual Meeting (Cat. No.99CH36370).

[16]  Jordi-Roger Riba,et al.  Application of the zero-sequence voltage component to detect stator winding inter-turn faults in PMSMs , 2012 .

[17]  Ye Zhongming,et al.  A review on induction motor online fault diagnosis , 2000, Proceedings IPEMC 2000. Third International Power Electronics and Motion Control Conference (IEEE Cat. No.00EX435).

[18]  Jun-Hyuk Choi,et al.  Modeling and Analysis of PMSMs under Inter Turn Short Faults , 2013 .

[19]  J. Kapler,et al.  Stator winding monitoring , 1998 .

[20]  B Mahdi Ebrahimi,et al.  Feature Extraction for Short-Circuit Fault Detection in Permanent-Magnet Synchronous Motors Using Stator-Current Monitoring , 2010, IEEE Transactions on Power Electronics.

[21]  L. Romeral,et al.  Stator short circuits detection in PMSM by means of Hilbert-Huang transform and energy calculation , 2009, 2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives.

[22]  L. Sbita,et al.  Multiple Faults Diagnosis in Induction Motor Using the MCSA Method , 2010 .

[23]  M. M. Morcos,et al.  Application of AI tools in fault diagnosis of electrical machines and drives-an overview , 2003 .

[24]  T. G. Habetler,et al.  Insulation failure prediction in AC machines using line-neutral voltages , 1998 .

[25]  Qing Wu,et al.  Fast Single-Turn Sensitive Stator Interturn Fault Detection of Induction Machines Based on Positive- and Negative-Sequence Third Harmonic Components of Line Currents , 2010, IEEE Transactions on Industry Applications.

[26]  B. Singh,et al.  A review of stator fault monitoring techniques of induction motors , 2005, IEEE Transactions on Energy Conversion.

[27]  Daniel L. Brooks,et al.  An improved fault analysis algorithm including detailed synchronous machine models and magnetic saturation , 1997 .

[28]  Thomas A. Lipo,et al.  Analysis and simulation of five-phase synchronous reluctance machines including third harmonic of airgap MMF , 1998 .

[29]  Barrie Mecrow,et al.  Operation of fault tolerant machines with winding failures , 1997, 1997 IEEE International Electric Machines and Drives Conference Record.

[30]  G. B. Kliman,et al.  Noninvasive detection of broken rotor bars in operating induction motors , 1988 .

[31]  Luis Romeral,et al.  Modeling of Surface-Mounted Permanent Magnet Synchronous Motors With Stator Winding Interturn Faults , 2011, IEEE Transactions on Industrial Electronics.

[32]  H.A. Toliyat,et al.  Condition Monitoring and Fault Diagnosis of Electrical Motors—A Review , 2005, IEEE Transactions on Energy Conversion.

[33]  Ratna Dahiya,et al.  Motor current signature analysis and its applications in induction motor fault diagnosis , 2008 .