Published

2012-01-01

Detecting eccentricity faults in a PMSM in non-stationary conditions

Detección de fallo de excentricidad en PMSM bajo condiciones no estacionarias

Keywords:

permanent magnet synchronous motor (PMSM), condition monitoring, fault diagnosis, eccentricity, demagnetisation, wavelet analysis, finite elements analysis (FEA) (en)
motor síncrono de imanes permanentes (PMSM), monitoreo, diagnóstico de fallas, excentricidad, fallas mecánicas, análisis de corriente de estator (MCIA), análisis Wavelet, análisis de elementos finitos (FEA) (es)

Downloads

Authors

  • Javier Rosero García Universidad Nacional de Colombia
  • José Luis Romeral Universidad Politécnica de Cataluña
  • Esteban Rosero García Universidad del Valle

Permanent magnet alternating current machines are being widely used in applications demanding high and rugged performance, such as industrial automation and the aerospace and automotive industries. This paper presents a study of a permanent magnet synchronous machine (PMSM) running in eccentricity; these machines' condition monitoring and fault detection would provide added value and they are also assuming growing importance. This paper investigates the effect of eccentricity faults on PMSM motors' current spectrum with a view to developing an effective condition-monitoring scheme using two-dimensional (2-D) finite element analysis (FEA). Stator current induced harmonics were investigated for fault conditions and advanced signal analysis involved continuous and discrete wavelet transforms. Simulation and experimental results are presented to substantiate that the proposed method worked over a wide speed range for motor operation and that it provided an effective tool for diagnosing PMSM operating condition.

Los motores síncronos de imanes permanentes son ampliamente usados en aplicaciones que requieren alto rendimiento y resistencia como automatización industrial, aeroespacial y automotriz. Este artículo presenta un estudio de motor síncrono de imanes permanentes (PMSM) en condición de falla de excentricidad. En este contexto, la monitorización y detección de fallas de PMSM proporcionan un valor añadido y están adquiriendo una importancia cada vez mayor. En este artículo se investiga el efecto de la excentricidad en el espectro de corriente de motores PMSM con el fin de desarrollar un esquema eficaz de supervisión. Para poder realizar el estudio se usa el análisis de elementos finitos (FEA) de dos dimensiones (2-D). Se investigan los armónicos inducidos en la corriente de estator por condición de fallas y se usa el análisis avanzado de señales por medio de la transformada Wavelet continua y discreta. Los resultados de simulación y experimentales son presentados para corroborar el método propuesto en un amplio rango de velocidad de operación del motor y proporcionan una herramienta eficaz para el diagnóstico de condición de falla de un PMSM.

References

Aller J. M., Habetler T. G., Harley R. G., Tallam R. M., Sang Bin L., Sensorless speed measurement of AC machines using analytic wavelet transform, IEEE Transactions on Industry Applications, vol. 38, 2002, pp. 1344-1350.

Bouji M., Arkadan A. A., Ericsen B. T., Fuzzy inference system for the characterization of SRM drives under normal and fault conditions, IEEE Transactions on Magnetics, vol. 37, issue: V, 2001pp. 3745-3748.

Buckheit J., Chen S., Donoho D., Johnstone I., Scargle J., WaveLab850 http://www-stat.stanford.edu/~wavelab vol. Version .850: Stanford University & NASA-Ames Research Center,

Cade I. S., Keogh P. S., Sahinkaya M. N., Fault identification in rotor/magnetic bearing systems using discrete time wavelet coefficients, IEEE/ASME Transactions on Mechatronics, vol. 10, 2005, pp. 648-657.

Cao W., Mecrow B., Bennett B. J., Atkinson D. J., Overview of electric motor technologies used for more electric aircraft (MEA)., Transactions on Industrial Electronics, IEEE, Issue 99, 2011, pp. 1-9.

Ertugrul N., Soong W. L., Valtenbergs S., Chye H., Investigation of a fault tolerant and high performance motor drive for critical applications, in TENCON. Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology, Vol.2, 2001, pp. 542-548.

Faiz J., Ebrahimi B. M., Akin B., Toliyat H. A., Dynamic analysis of mixed eccentricity signatures at various operating points and scrutiny of related indices for induction motors, IET Electric Power Applications, vol. 4, issue I, 2010, pp. 1-16.

Faiz J., Ebrahimi D. M., Akin B., Toliyat H. A., Dynamic analysis of mixed eccentricity signatures at various operating points and scrutiny of related indices for induction motors, IET Electric Power Applications, vol. 4, issue: 1, 2010, pp. 253-260.

Ferrah A., Hogben-Laing P. J., Bradley K. J., Asher G. M., Woolfson M. S., The effect of rotor design on sensorless speed estimation using rotor slot harmonics identified by adaptive digital filtering using the maximum likelihood approach, in 32nd IAS Annual Meeting, IAS '97., Conference Record of the Industry Applications Conference, 1997. IEEE, vol.1, 1997, pp. 128-135.

Hajiaghajani M., Lei H., Madani S. M., Toliyat H. A., A method for detection of eccentricity in permanent magnet machines, in 38th IAS Annual Meeting. Conference Record of the Industry Applications Conference, Vol.3, 2003, pp. 1833-1838.

Hsu J. S. Stein J., Effects of eccentricities on shaft signals studied through windingless rotors, IEEE Transactions on Energy Conversion, Vol. 9, 1994, pp. 564-571.

Kral C., Habetler T. G., Harley R. G., Detection of mechanical imbalances of induction machines without spectral analysis of time-domain signals, IEEE Transactions on Industry Applications, vol. 40, 2004, pp. 1101-1106.

Le Roux W., Harley R. G., Habetler T. G., Detecting rotor faults in permanent magnet synchronous machines," in SDEMPED 2003. 4th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, 2003, pp. 198-203.

Le Roux W., Harley R. G., Habetler T. G., Detecting rotor faults in low power permanent magnet synchronous machines, Transactions on Power Electronics, Vol. 22, Issue: I, 2007, pp. 322-328.

Mallat S. G., A wavelet tour of signal processing. San Diego: Academic Press, 1998.

Mohammed O. A., Abed N. Y., Ganu S., Modeling and characterization of induction motor internal faults using finite-element and discrete wavelet transforms, IEEE Transactions on Magnetics, vol. 42, 2006, pp. 3434-3436.

Nandi S., Toliyat H. A., Li X., Performance-oriented electric motors diagnostics in modern energy conversion systems, IEEE Transactions on Industrial Electronics, vol. 59, Issue: II, 2012, p. 1266-1277.

Rajagopalan S., Aller J. M., Restrepo J. A., Habetler T. G., Harley R. G., Analytic-wavelet-ridge-based detection of dynamic eccentricity in brushless direct current (BLDC) motors functioning under dynamic operating conditions, IEEE Transactions on Industrial Electronics, vol. 54, 2007, pp. 1410-1419.

Rosero J., Cusido J., Garcia A., Ortega J. A., Romeral L., Broken bearings and eccentricity fault detection for a permanent magnet synchronous motor, in The 32nd Annual Conference of the IEEE Industrial Electronics Society, IECON06, Paris - FRANCE, 2006, pp. 964-969.

Rosero J., Romeral L., Cusido J., Ortega J. A., Fault detection by means of wavelet transform in a PMSM under demagnetization, in The 33rd Annual Conference of the IEEE Industrial Electronics Society, IECON07, Taipei, Taiwan, 2007.

Sundaram V. M., Toliyat H. A., Diagnosis and isolation of air-gap eccentricities in closed-loop controlled doubly-fed induction generators, IEEE Conference International of Electric Machines & Drives Conference (IEMDC), 15-18 May, 2011, 2011, pp. 1064-1069.