A new diagnosis of broken rotor bar fault extent in three phase squirrel cage induction motor

Abstract This paper proposes a new induction motor broken bar fault extent diagnostic approach under varying load conditions based on wavelet coefficients of stator current in a specific frequency band. In this paper, winding function approach (WFA) is used to develop a mathematical model to provide indication references for parameters under different load levels and different fault cases. It is shown that rise of number of broken bars and load levels increases amplitude of the particular side band components of the stator currents in faulty case. Stator current, rotor speed and torque are used to demonstrate the relationship between these parameters and broken rotor bar severity. An induction motor with 1, 2 and 3 broken bars and the motor with 3 broken bars in experiment at no-load, 50% and 100% load are investigated. A novel criterion is then developed to assess rotor fault severity based on the stator current and the rotor speed. Simulations and experimental results confirm the validity of the proposed approach.

[1]  Thomas A. Lipo,et al.  Analysis of a concentrated winding induction machine for adjustable speed drive applications. I. Motor analysis , 1991 .

[2]  C. F. Landy,et al.  Determination of interbar current effects in the detection of broken rotor bars in squirrel cage induction motors , 1994 .

[3]  Hamid A. Toliyat,et al.  Study of three phase induction motors with incipient rotor cage faults under different supply conditions , 1999, Conference Record of the 1999 IEEE Industry Applications Conference. Thirty-Forth IAS Annual Meeting (Cat. No.99CH36370).

[4]  Alexander G. Parlos,et al.  Induction motor fault diagnosis based on neuropredictors and wavelet signal processing , 2002 .

[5]  Jie Chen,et al.  On-Line Residual Compensation in Robust Fault Diagnosis of Dynamic Systems , 1992 .

[6]  Michael J. Devaney,et al.  Bearing damage detection via wavelet packet decomposition of the stator current , 2004, IEEE Transactions on Instrumentation and Measurement.

[7]  Gérard-André Capolino,et al.  Advances in Diagnostic Techniques for Induction Machines , 2008, IEEE Transactions on Industrial Electronics.

[8]  Giovanni Franceschini,et al.  Development of expert system knowledge base to on-line diagnosis of rotor electrical faults of induction motors , 1992, Conference Record of the 1992 IEEE Industry Applications Society Annual Meeting.

[9]  H.A. Toliyat,et al.  A novel approach for broken rotor bar detection in cage induction motors , 1998, Conference Record of 1998 IEEE Industry Applications Conference. Thirty-Third IAS Annual Meeting (Cat. No.98CH36242).

[10]  Richard J. Povinelli,et al.  Induction Machine Broken Bar and Stator Short-Circuit Fault Diagnostics Based on Three-Phase Stator Current Envelopes , 2008, IEEE Transactions on Industrial Electronics.

[11]  T.A. Lipo,et al.  Complex vector model of the squirrel cage induction machine including instantaneous rotor bar currents , 1998, Conference Record of 1998 IEEE Industry Applications Conference. Thirty-Third IAS Annual Meeting (Cat. No.98CH36242).

[12]  Alireza Sadeghian,et al.  Mechanical fault diagnostics for induction motor with variable speed drives using Adaptive Neuro-fuzzy Inference System , 2006 .

[13]  F. Filippetti,et al.  AI techniques in induction machines diagnosis including the speed ripple effect , 1996 .

[14]  Wenying Huang,et al.  A novel detection method of motor broken rotor bars based on wavelet ridge , 2003 .

[15]  H. Douglas,et al.  The impact of wavelet selection on transient motor current signature analysis , 2005, IEEE International Conference on Electric Machines and Drives, 2005..

[16]  Linzheng Zhang,et al.  Two new approaches to analysis of inner-fault of squirrel-cage rotor for three-phase induction motors , 2001, ICEMS'2001. Proceedings of the Fifth International Conference on Electrical Machines and Systems (IEEE Cat. No.01EX501).

[17]  M. Riera-Guasp,et al.  Validation of a new method for the diagnosis of rotor bar failures via wavelet transform in industrial induction machines , 2006, IEEE Transactions on Industry Applications.

[18]  A.H. Bonnett,et al.  Increased Efficiency Versus Increased Reliability , 2008, IEEE Industry Applications Magazine.

[19]  Jawad Faiz,et al.  TIME STEPPING FINITE ELEMENT ANALYSIS OF BROKEN BARS FAULT IN A THREE-PHASE SQUIRREL-CAGE INDUCTION MOTOR , 2007 .

[20]  Mario Eltabach,et al.  Broken rotor bars detection by a new non-invasive diagnostic procedure , 2009 .

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

[22]  Vicente Climente-Alarcon,et al.  Transient-based analysis for the detection of broken damper bars in synchronous motors , 2013 .

[23]  Shahin Hedayati Kia,et al.  A High-Resolution Frequency Estimation Method for Three-Phase Induction Machine Fault Detection , 2007, IEEE Transactions on Industrial Electronics.

[24]  Daming Lin,et al.  A review on machinery diagnostics and prognostics implementing condition-based maintenance , 2006 .

[25]  Hansjörg Kapeller,et al.  Robust Rotor Fault Detection by Means of the Vienna Monitoring Method and a Parameter Tracking Technique , 2008, IEEE Transactions on Industrial Electronics.

[26]  J. Antonino-Daviu,et al.  Application and Optimization of the Discrete Wavelet Transform for the Detection of Broken Rotor Bars in Induction Machines , 2006 .

[27]  Mo-Yuen Chow,et al.  Guest editorial special section on motor fault detection and diagnosis , 2000 .

[28]  Alexander C. Smith,et al.  Detection of Stator Core Faults in Large Electrical Machines , 2012 .

[29]  Alireza Sadeghian,et al.  Current signature analysis of induction motor mechanical faults by wavelet packet decomposition , 2003, IEEE Trans. Ind. Electron..

[30]  Gaëtan Didier,et al.  A new approach to detect broken rotor bars in induction machines by current spectrum analysis , 2007 .

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

[32]  Humberto Henao,et al.  Induction machine fault detection using stray flux EMF measurement and neural network-based decision , 2008 .

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

[34]  Xie Ying.  Characteristic Performance Analysis of Squirrel Cage Induction Motor With Broken Bars , 2009 .

[35]  Pragasen Pillay,et al.  Novel indices for broken rotor bars fault diagnosis in induction motors using wavelet transform , 2012 .

[36]  Claudio Bruzzese,et al.  Analysis and Application of Particular Current Signatures (Symptoms) for Cage Monitoring in Nonsinusoidally Fed Motors With High Rejection to Drive Load, Inertia, and Frequency Variations , 2008, IEEE Transactions on Industrial Electronics.

[37]  F. Filippetti,et al.  Quantitative evaluation of induction motor broken bars by means of electrical signature analysis , 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).

[38]  T.A. Lipo,et al.  Multiple coupled circuit modeling of induction machines , 1993, Conference Record of the 1993 IEEE Industry Applications Conference Twenty-Eighth IAS Annual Meeting.

[39]  N.Y. Abed,et al.  Modeling and characterization of induction motor internal faults using finite element and discrete wavelet transform , 2006, INTERMAG 2006 - IEEE International Magnetics Conference.

[40]  Hubert Razik,et al.  A Novel Monitoring of Load Level and Broken Bar Fault Severity Applied to Squirrel-Cage Induction Motors Using a Genetic Algorithm , 2009, IEEE Transactions on Industrial Electronics.