Discriminating broken rotor bar from oscillating load effects using the instantaneous active and reactive powers

A new strategy for detection and diagnosis of broken bars and load oscillations is proposed. The proposed technique is based on the analysis of the instantaneous active and reactive powers spectra, and allows the correct distinction between broken rotor bars and low-frequency load oscillations. A suitable fault severity factor is also proposed, which allows the broken rotor bar fault quantification, while being practically independent of the motor load. By using the proposed technique, a broken bar fault can be detected and diagnosed, even in the presence of load oscillations at frequencies next to twice the slip frequency. Extensive experimental results, both from laboratory and industrial cases, validate the proposal.

[1]  Hirofumi Akagi,et al.  Instantaneous power theory and applications to power conditioning , 2007 .

[2]  Peter Tavner,et al.  Review of condition monitoring of rotating electrical machines , 2008 .

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

[4]  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.

[5]  Thomas G. Habetler,et al.  Effects of time-varying loads on rotor fault detection in induction machines , 1993 .

[6]  Guillermo R. Bossio,et al.  Effects of rotor bar and end-ring faults over the signals of a position estimation strategy for induction motors , 2005, IEEE Transactions on Industry Applications.

[7]  A.J.M. Cardoso,et al.  On-line fault diagnostics in operating three-phase induction motors by the active and reactive power media , 2008, 2008 18th International Conference on Electrical Machines.

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

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

[10]  A. J. Marques Cardoso,et al.  Airgap Eccentricity Fault Diagnosis, in Three-Phase Induction Motors, by the Instantaneous Power Signature Analysis , 1988 .

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

[12]  Long Wu,et al.  A Review of Separating Mechanical Load Effects from Rotor Faults Detection in Induction Motors , 2007, 2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives.

[13]  Azeddine Bendiabdellah,et al.  Squirrel cage rotor faults detection in induction motor utilizing stator power spectrum approach , 2002 .

[14]  Alexander C. Smith,et al.  Steady-state analysis of 3-phase cage motors with rotor-bar and end-ring faults , 1982 .

[15]  A.F. Alshandoli,et al.  Instantaneous phase variation (IPV) for rotor bar fault detection and diagnosis , 2008, 2008 Second International Conference on Electrical Engineering.

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

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

[18]  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.

[19]  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).

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

[21]  Hirofumi Akagi,et al.  more power to you (review of Instantaneous Power Theory and Applications to Power Conditioning by Akagi, H. et al.; 2007) [book review] , 2008, IEEE Power and Energy Magazine.

[22]  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).

[23]  David Bonacci,et al.  On-Line Monitoring of Mechanical Faults in Variable-Speed Induction Motor Drives Using the Wigner Distribution , 2008, IEEE Transactions on Industrial Electronics.

[24]  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.

[25]  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.

[26]  Thomas G. Habetler,et al.  Evaluation and implementation of a system to eliminate arbitrary load effects in current-based monitoring of induction machines , 1996, IAS '96. Conference Record of the 1996 IEEE Industry Applications Conference Thirty-First IAS Annual Meeting.