The Use of the Instantaneous-Reactive-Power Signature Analysis for Rotor-Cage-Fault Diagnostics in Three-Phase Induction Motors

In this paper, a new detection technique based on the instantaneous-reactive-power signature analysis is proposed for the diagnosis of rotor-cage faults (RCFs) in operating three-phase induction motors (IMs). This technique has been tested through the simulation of two different IMs using a mathematical model based on the winding-function approach. In order to demonstrate the capability of the proposed tool for rotor-condition monitoring, these simulations are complemented by the experimental results obtained from two IMs with several faulty rotors, powered from sinusoidal and nonsinusoidal supply voltages. The results obtained by the fast-Fourier-transform algorithm and the Welch method show the merits of the proposed approach for the detection of RCFs. A suitable fault-severity factor is also proposed as an indicator of the motor condition. Moreover, the inductive reactive effect of RCFs is underlined to demonstrate the effectiveness and convenience of this new technique for the diagnosis of RCFs in three-phase IMs.

[1]  F. Filippetti,et al.  Closed loop control impact on the diagnosis of induction motors faults , 1999 .

[2]  Yoichi Hori,et al.  Model Reference Adaptive Controller-Based Rotor Resistance and Speed Estimation Techniques for Vector Controlled Induction Motor Drive Utilizing Reactive Power , 2008, IEEE Transactions on Industrial Electronics.

[3]  M. Drif,et al.  Rotor Cage Fault Diagnostics in Three-Phase Induction Motors, by the Instantaneous Non-Active Power Signature Analysis , 2007, 2007 IEEE International Symposium on Industrial Electronics.

[4]  M. Faouzi Mimouni,et al.  Robust speed identification for speed sensorless vector control of current-fed double-star induction machine , 2000, ICECS 2000. 7th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.00EX445).

[5]  Gérard-André Capolino,et al.  High Frequency Resolution Techniques for Rotor Fault Detection of Induction Machines , 2008, IEEE Transactions on Industrial Electronics.

[6]  C. Tassoni,et al.  Different Procedures for the Diagnosis of Rotor Fault in Closed Loop Induction Motors Drives , 2007, 2007 IEEE International Electric Machines & Drives Conference.

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

[8]  Mauricio Aredes,et al.  New concepts of instantaneous active and reactive powers in electrical systems with generic loads , 1993 .

[9]  D. J. Adams,et al.  Harmonic and reactive power compensation based on the generalized instantaneous reactive power theory for three-phase four-wire systems , 1998 .

[10]  A.J. Marques Cardoso,et al.  The instantaneous power factor approach for rotor cage faults diagnosis in three-phase induction motors , 2008, 2008 International Symposium on Power Electronics, Electrical Drives, Automation and Motion.

[11]  Bong-Hwan Kwon,et al.  Online Diagnosis of Induction Motors Using MCSA , 2006, IEEE Transactions on Industrial Electronics.

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

[13]  M. E. H. Benbouzid,et al.  What Stator Current Processing Based Technique to Use for Induction Motor Rotor Faults Diagnosis , 2002, IEEE Power Engineering Review.

[14]  A.H. Bonnett,et al.  Squirrel cage rotor options for AC induction motors , 2000, Conference Record of 2000 Annual Pulp and Paper Industry Technical Conference (Cat. No.00CH37111).

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

[16]  Fiorenzo Filippetti,et al.  Recent developments of induction motor drives fault diagnosis using AI techniques , 2000, IEEE Trans. Ind. Electron..

[17]  Bong-Hwan Kwon,et al.  Corrosion Model of a Rotor-Bar-Under-Fault Progress in Induction Motors , 2006, IEEE Transactions on Industrial Electronics.

[18]  Austin H. Bonnett,et al.  Rotor Failures in Squirrel Cage Induction Motors , 1986, IEEE Transactions on Industry Applications.

[19]  H. Akagi,et al.  The p-q theory in three-phase systems under non-sinusoidal conditions , 2007 .

[20]  Antonio J. Marques Cardoso,et al.  Rotor cage fault diagnosis in three-phase induction motors by the total instantaneous power spectral analysis , 1999, Conference Record of the 1999 IEEE Industry Applications Conference. Thirty-Forth IAS Annual Meeting (Cat. No.99CH36370).

[21]  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).

[22]  Mo-Yuen Chow,et al.  Multiple Discriminant Analysis and Neural-Network-Based Monolith and Partition Fault-Detection Schemes for Broken Rotor Bar in Induction Motors , 2006, IEEE Transactions on Industrial Electronics.

[23]  B. Mirafzal,et al.  On innovative methods of induction motor interturn and broken-bar fault diagnostics , 2006, IEEE Transactions on Industry Applications.

[24]  A.J.M. Cardoso,et al.  Diagnosis of Rotor Faults in Closed-Loop Induction Motor Drives , 2006, Conference Record of the 2006 IEEE Industry Applications Conference Forty-First IAS Annual Meeting.

[25]  Zhe Zhang,et al.  Online rotor mixed fault diagnosis way based on spectrum analysis of instantaneous power in squirrel cage induction motors , 2004 .

[26]  C. Kral,et al.  A comparison of rotor fault detection techniques with respect to the assessment of fault severity , 2003, 4th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, 2003. SDEMPED 2003..

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

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

[29]  Fang Zheng Peng,et al.  Reactive power and harmonic compensation based on the generalized instantaneous reactive power theory for three-phase power systems , 1996 .

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

[31]  Alessandro Ferrero,et al.  A new approach to the definition of power components in three-phase systems under nonsinusoidal conditions , 1991 .

[32]  Slim Tnani,et al.  Diagnosis by parameter estimation of stator and rotor faults occurring in induction machines , 2006, IEEE Transactions on Industrial Electronics.

[33]  A. Bellini,et al.  Quad Demodulation: A Time Domain Diagnostic Method for Induction Machines , 2007, 2007 IEEE Industry Applications Annual Meeting.

[34]  Christian Kral,et al.  Sequences of field-oriented control for the detection of faulty rotor bars in induction machines-the Vienna Monitoring Method , 1998, IEEE Trans. Ind. Electron..

[35]  Andrzej M. Trzynadlowski,et al.  Comparative investigation of diagnostic media for induction motors: a case of rotor cage faults , 1999, Conference Record of the 1999 IEEE Industry Applications Conference. Thirty-Forth IAS Annual Meeting (Cat. No.99CH36370).

[36]  Arturo Garcia-Perez,et al.  Automatic Online Diagnosis Algorithm for Broken-Bar Detection on Induction Motors Based on Discrete Wavelet Transform for FPGA Implementation , 2008, IEEE Transactions on Industrial Electronics.

[37]  Mario Eltabach,et al.  A comparison of external and internal methods of signal spectral analysis for broken rotor bars detection in induction motors , 2004, IEEE Transactions on Industrial Electronics.

[38]  A.J.M. Cardoso,et al.  Rotor Cage Fault Diagnostics in Three-Phase Induction Motors, by the Instantaneous Phase-Angle Signature Analysis , 2007, 2007 IEEE International Electric Machines & Drives Conference.

[39]  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).

[40]  Terrence J. Summers,et al.  Speed estimation for induction machines using imaginary power , 2003, 38th IAS Annual Meeting on Conference Record of the Industry Applications Conference, 2003..

[41]  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.

[42]  Kil To Chong,et al.  Induction Machine Condition Monitoring Using Neural Network Modeling , 2007, IEEE Transactions on Industrial Electronics.

[43]  A. J. Marques Cardoso,et al.  Rotor Cage Fault Diagnosis in Three-Phase Induction Motors by Extended Park's Vector Approach , 2000 .

[44]  A.J.M. Cardoso,et al.  The instantaneous reactive power approach for rotor cage fault diagnosis in induction motor drives , 2008, 2008 IEEE Power Electronics Specialists Conference.

[45]  Leon M. Tolbert,et al.  Comparison of time-based nonactive power definitions for active filtering , 2000, 7th IEEE International Power Electronics Congress. Technical Proceedings. CIEP 2000 (Cat. No.00TH8529).

[46]  Jim Penman,et al.  Induction machine condition monitoring with higher order spectra , 2000, IEEE Trans. Ind. Electron..