Concordia Transform-Based Current Analysis for Induction Motor Diagnosis

Abstract:

This paper presents a new approach for bearing defect diagnosis in induction motor by taking advantage of three-phase stator current analysis based on Concordia transform. The current signature caused by bearing defect is firstly analyzed using an analytic model. Concordia transform is performed to extract the instantaneous frequency based on phase demodulation. The bearing defect feature is then identified via spectrum analysis of the variation of current instantaneous frequency. Both simulation and experimental studies are performed to demonstrate the effectiveness of proposed method in identifying bearing defects. The method is inherently low cost, non-invasive, and computational efficient, making it a good candidate for various applications.

• Periodical: Key Engineering Materials (Volumes 569-570)
• Pages: 481-488
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.569-570.481
• Online since: July 2013
• Authors: Jin Jiang Wang, Robert X. Gao, Ru Qiang Yan
• Keywords: Bearing Health Diagnosis, Concordia Transform, Motor Current Signature Analysis

References

[1] O. Thorsen, and M. Dalva, A survey of faults on induction-motors in offshore oil industry, petrochemical industry, gas terminals, and oil refineries, IEEE Transaction on Industrial Applications, 31(5)(1995) 1186-1196.

DOI: 10.1109/28.464536

[2] M.E.H. Benvouzid, Bibliography on induction motors faults detection and diagnosis, IEEE Transaction on Energy Conversion, 14(4)(1999)1065-1074.

DOI: 10.1109/60.815029

[3] IEEE Motor Reliability Working Group, Report of large motor reliability survey of industrial and commercial installations, IEEE Transactions on Industry Applications, IA-21(4)(1985) 853-872.

DOI: 10.1109/tia.1985.349533

[4] M. Benbouzid, A review of induction motors signature analysis as a medium for faults detection, IEEE Transaction on Industrial Electronics, 47(2000)984-993.

DOI: 10.1109/41.873206

[5] R. R. Schoen, T.G. Habetler, F. Kamran, R.G. Bartheld, Motor bearing damage detection using stator current monitoring, IEEE Transactions on Industry Applications, 31(6)(1995)1274-1279.

DOI: 10.1109/28.475697

[6] M. Blodt, P. Granjon, B. Raison, and G. Rostaing, Models for bearing damage detection in induction motors using stator current monitoring, IEEE Transactions on Industrial Electronics, 55(4)(2008)1813-1822.

DOI: 10.1109/tie.2008.917108

[7] B. Trajin, J. Regnier, and J. Faucher, Comparison between stator current and estimated mechanical speed for the detection of bearing wear in asynchronous drives, IEEE Transactions on Industrial Electronics, 56(11)(2009)4700-4709.

DOI: 10.1109/tie.2009.2023630

[8] F. Immovilli, A. Bellini, R. Rubini, and C. Tassoni, Diagnosis of bearing faults in induction machines by vibration or current signals: a critical comparison, IEEE Transactions on Industry Applications, 46(4)(2010)1350-1359.

DOI: 10.1109/tia.2010.2049623

[9] A. Garcia-Perez, R.D.J. Romero-Troncoso, E. Cabal-Yepez, and R.A. Osornio-Rios, The application of high-resolution spectral analysis for identifying multiple combined faults in induction motors, IEEE Transactions on Industrial Electronics, 58(5)(2011).

DOI: 10.1109/tie.2010.2051398

[10] J. Zarei, J. Poshtan, Bearing fault detection using wavelet packet transform of induction motor stator current, Tribology International, 40(2007)763-769.

DOI: 10.1016/j.triboint.2006.07.002

[11] E.C.C. Lau, and H.W. Ngan, Detection of motor bearing outer raceway defect by wavelet packet transformed motor current signature analysis, IEEE Transactions on Instrumentation and Measurement, 59(10)(2010)2683-2690.

DOI: 10.1109/tim.2010.2045927

[12] W. Zhou, B. Lu, T.G. Habetler, and R.G. Harley, Incipient bearing fault detection via motor stator current noise cancellation using wiener filter, IEEE Transactions on Industry Applications, 45(4)(2009)1309-1317.

DOI: 10.1109/tia.2009.2023566

[13] J. Zarei, J. Pashtan, An advanced park's vectors approach for bearing fault detection, Tribology International, 42(2009)213-219.

DOI: 10.1016/j.triboint.2008.06.002

[14] A. Ibrahim, M.E. Badaoui, F. Guillet, F. Bonnardot, A new bearing fault detection method in induction machines based on instantaneous power factor, IEEE Transactions on Industrial Electronics, 55(12)(2008)4252-4259.

DOI: 10.1109/tie.2008.2003211

[15] B. Trajin, M. Chabert, J. Regnier, and J. Faucher, Hilbert versus Concordia transform for the three-phase machine stator current time-frequency monitoring, Mechanical Systems and Signal Processing, 23(2009)2648-2657.

DOI: 10.1016/j.ymssp.2009.05.015

[16] P. Vas, Electrical machines and drives - a space vector theory approach, Oxford Science Publications, Oxford, (1992).

[17] A.J.M. Cardoso, A.M.S. Mendes, Converter fault diagnosis in variable speed DC drives, by Park's vector approach, Proceedings of the IEEE International Symposium on Industrial Electronics, 2(1997)497-500.

DOI: 10.1109/isie.1997.649000

[18] V. Ignatova, P. Granjon, S. Bacha, F. Dumas, Classification and characterization of three phase voltage dips by space vector methodology, International Conference on Future Power System, November 2005, pp.1-6.

DOI: 10.1109/fps.2005.204283

[19] D.C. White, H.H. Woodson, Electromechanical Energy Conversion, Wiley, New York, (1959).

[20] B. Boashash, Estimating and interpreting the instantaneous frequency of a signal – Part 1: fundamentals, Proceedings of the IEEE, 80(4)(1992)520-538.

DOI: 10.1109/5.135376

[21] M. Blodt, M. Chabert, J. Regnier, and J. Faucher, Mechanical load fault detection in induction motors by stator current time-frequency analysis, IEEE Transactions on Industry Applications, 42(6)(2006)1454-1463.

DOI: 10.1109/tia.2006.882631

[22] R. Yan, R.X. Gao, Multi-scale enveloping spectrogram for vibration analysis in bearing defect diagnosis, Tribology International, 42(2009)293-302.

DOI: 10.1016/j.triboint.2008.06.013