A Fault Detection Technique for Variable-speed Wind Turbines Using Vibrations and Electrical Measurements

Authors

  • J. M. Bossio Grupo de Electrónica Aplicada, Fac. de Ingenieria, Universidad Nacional de Rio Cuarto, Ruta Nac. #36 Km. 601, (X5804BYA) Rio Cuarto, Córdoba, Argentina.
  • G. R. Bossio Grupo de Electrónica Aplicada, Fac. de Ingenieria, Universidad Nacional de Rio Cuarto, Ruta Nac. #36 Km. 601, (X5804BYA) Rio Cuarto, Córdoba, Argentina.
  • C. H. de Angelo Grupo de Electrónica Aplicada, Fac. de Ingenieria, Universidad Nacional de Rio Cuarto, Ruta Nac. #36 Km. 601, (X5804BYA) Rio Cuarto, Córdoba, Argentina.

DOI:

https://doi.org/10.18618/REP.2014.4.386396

Keywords:

Fault detection, Permanent magnet synchronous generator, Vibration, Wind turbines

Abstract

A technique for detecting faults in variable speed wind turbines with permanent magnet synchronous generators is proposed. The proposal consist on sampling and process vibration signals at constant position intervals, in order to obtain a speed independent vibration spectrum. The angular position information is obtained using a reduced order observer which allows estimating rotor position using voltage and current measurements, without the need of a position sensor. The estimated position is used for resampling vibration signals at constant position intervals with a high number of samples per revolution. Experimental results including a rotor imbalance fault are presented to validate the proposal.

Downloads

Download data is not yet available.

Author Biographies

J. M. Bossio, Grupo de Electrónica Aplicada, Fac. de Ingenieria, Universidad Nacional de Rio Cuarto, Ruta Nac. #36 Km. 601, (X5804BYA) Rio Cuarto, Córdoba, Argentina.

José Maria Bossio was born in Italó, Argentina, in 1979. He received the Electrical Engineer degree from the Universidad Nacional de Rio Cuarto, Rio Cuarto, Argentina, in 2006, the MsC. of Engineering Sciences degree from the Universidad Nacional de Rio Cuarto, Rio Cuarto, Argentina, in 2010, and the Dr. of Control Systems degree from the Universidad Nacional del Sur, Bahia Blanca, Argentina, in 2012. Since 2001, he has been with the Grupo de Electrónica Aplicada, Facultad de Ingeniería, Universidad Nacional de Rio Cuarto. He is currently Teaching Assistant at Universidad Nacional de Rio Cuarto and Assistant Researcher at Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina. Dr. Bossio is Member of the IEEE. His research interests include fault diagnosis on electric machines, and renewable-energy generation.

G. R. Bossio, Grupo de Electrónica Aplicada, Fac. de Ingenieria, Universidad Nacional de Rio Cuarto, Ruta Nac. #36 Km. 601, (X5804BYA) Rio Cuarto, Córdoba, Argentina.

was born in Italó, Argentina, in 1974. He received the Electrical Engineer degree from the Universidad Nacional de Rio Cuarto, Rio Cuarto, Argentina, in 1999 and the Dr. of Engineering degree from the Universidad Nacional de La Plata, La Plata, Argentina, in 2004. Since 1994, he has been with the Grupo de Electrónica Aplicada, Facultad de Ingeniería, Universidad Nacional de Rio Cuarto. He is currently Associate Professor at Universidad Nacional de Rio Cuarto and Independt Researcher at Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina. His research interests include fault diagnosis on electric machines, electric vehicles, and renewable-energy generation. Dr. Bossio is Member of the IEEE. He has been a member of the organizing committees of several national conferences. He is also member of the Automatic Control Association of Argentina.

C. H. de Angelo, Grupo de Electrónica Aplicada, Fac. de Ingenieria, Universidad Nacional de Rio Cuarto, Ruta Nac. #36 Km. 601, (X5804BYA) Rio Cuarto, Córdoba, Argentina.

was bom in Rio Cuarto, Argentina, in 1974. He received the Electrical Engineer degree from the Universidad Nacional de Rio Cuarto, Rio Cuarto, Argentina, in 1999 and the Dr. of Engineering degree from the Universidad Nacional de La Plata, La Plata, Argentina, in 2004. Since 1994, he has been with the Grupo de Electrónica Aplicada, Facultad de Ingeniería, Universidad Nacional de Río Cuarto. He is currently Associate Professor at Universidad Nacional de Rio Cuarto and Independt Researcher at Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina. His research interests include fault diagnosis on electric machines, electric vehicles, and renewable-energy generation. Dr. De Angelo is Senior Member of the IEEE. He has been member of the organizing committees of several national conferences. He is also member of the Automatic Control Association of Argentina.

References

T. Ackermann, Ed.,Wind power in power systems.Chichester, UK: John Wiley & Sons, Ltd, 2005. https://doi.org/10.1002/0470012684 DOI: https://doi.org/10.1002/0470012684

B. Lu, Y. Li, X. Wu, and Z. Yang, "A review of recent advances in wind turbine condition monitoring and fault diagnosis," inIEEE Power Electronics and Machines inWind Applications (PEMWA 2009), 2009, pp. 1-7. https://doi.org/10.1109/PEMWA.2009.5208325 DOI: https://doi.org/10.1109/PEMWA.2009.5208325

B. C. P. Lau, E. W. M. Ma, and M. Pecht, "Review Of offshore wind turbine failures and fault prognostics methods," inIEEE Conference on Prognostics andSystem Health Management (PHM), 2012, pp. 1-5.

N. Freire, J. Estima, and A. Marques Cardoso,"Open-circuit fault diagnosis in pmsg drives for windturbine applications,"IEEE Transactions on IndustrialElectronics, vol. 60, no. 9, pp. 3957-3967, Sept 2013. https://doi.org/10.1109/TIE.2012.2207655 DOI: https://doi.org/10.1109/TIE.2012.2207655

B. Tang, T. Song, F. Li, and L. Deng, "Fault diagnosis for a wind turbine transmission system based on manifold learning and shannon wavelet support vector machine,"Renewable Energy,vol.62,pp.1-9,2014. https://doi.org/10.1016/j.renene.2013.06.025 DOI: https://doi.org/10.1016/j.renene.2013.06.025

J. Sheldon, G. Mott, H. Lee, and M. Watson, "Robust Wind turbine gearbox fault detection,"Wind Energy,vol. 17, no. 5, pp. 745-755, 2014. https://doi.org/10.1002/we.1567 DOI: https://doi.org/10.1002/we.1567

L. Wenyi, W. Zhenfeng, H. Jiguang, and W. Guangfeng,"Wind turbine fault diagnosis method based on diagonal spectrum and clustering binary tree svm,"Renewable Energy, vol. 50, pp. 1 - 6, 2013. https://doi.org/10.1016/j.renene.2012.06.013 DOI: https://doi.org/10.1016/j.renene.2012.06.013

Z. Feng and M. Liang, "Fault diagnosis of wind turbine planetary gearbox under non stationary conditions via adaptive optimal kernel time frequency analysis,"Renewable Energy, vol. 66, pp. 468 - 477, 2014. https://doi.org/10.1016/j.renene.2013.12.047 DOI: https://doi.org/10.1016/j.renene.2013.12.047

W. Yang, P. J. Tavner, C. J. Crabtree, and M. Wilkinson,"Cost-effective condition monitoring for wind turbines,"IEEE Transactions on Industrial Electronics, vol. 57,no. 1, pp. 263-271, 2010. https://doi.org/10.1109/TIE.2009.2032202 DOI: https://doi.org/10.1109/TIE.2009.2032202

M. Blodt, J. Regnier, and J. Faucher, "Distinguishing load torque oscillations and eccentricity faults in induction motors using stator current wigner distributions,"IEEETransactions on Industry Applications, vol. 45, no. 6, pp.1991-2000, 2009. https://doi.org/10.1109/TIA.2009.2031888 DOI: https://doi.org/10.1109/TIA.2009.2031888

Z. Zhang, A. Verma, and A. Kusiak, "Fault analysis and condition monitoring of the wind turbine gearbox,"IEEETransactions on Energy Conversion, vol. 27, no. 2, pp.526-535, 2012. https://doi.org/10.1109/TEC.2012.2189887 DOI: https://doi.org/10.1109/TEC.2012.2189887

X. Gong and W. Qiao, "Imbalance fault detection of direct-drive wind turbines using generator current signals,"IEEE Transactions on Energy Conversion,vol. 27, no. 2, pp. 468-476, 2012. https://doi.org/10.1109/TEC.2012.2189008 DOI: https://doi.org/10.1109/TEC.2012.2189008

S. Djurovic, C. J. Crabtree, P. J. Tavner, andA. C. Smith, "Condition monitoring of wind turbine induction generators with rotor electrical asymmetry,"IET Renewable Power Generation, vol. 6, no. 4, pp. 207-216, 2012. https://doi.org/10.1049/iet-rpg.2011.0168 DOI: https://doi.org/10.1049/iet-rpg.2011.0168

M. Fernandez-Cabanas and M. García-Melero, Técnicas Para el mantenimiento diagnóstico de máquinas eléctricas rotativas. Barcelona: Marcombo, S.A., 1998.

K. C. Kim, S. B. Lim, K. B. Jang, S. G. Lee, J. Lee,Y. G. Son, Y. K. Yeo, and S. H. Baek, "Analysis on the direct-driven high power permanent magnet generator for wind turbine," inEighth International Conference onElectrical Machines and Systems (ICEMS 2005), vol. 1,2005, pp. 243-247.

J. N. Stander, M. J. Kamper, and G. Venter, "Analytic Modelling and optimization of slip synchronous permanent magnet wind turbine generator topologies,"Wind Energy, p. n/a, 2014. https://doi.org/10.1002/we.1756 DOI: https://doi.org/10.1002/we.1756

Z. Hameed, Y. S. Hong, Y. M. Cho, S. H. Ahn, and C. K.Song, "Condition monitoring and fault detection of wind turbines and related algorithms: A review,"Renewable And Sustainable Energy Reviews, vol. 13, no. 1, pp. 1-39, 2009. https://doi.org/10.1016/j.rser.2007.05.008 DOI: https://doi.org/10.1016/j.rser.2007.05.008

F. P. García Márquez, A. M. Tobias, J. M. Pinar Pérez,and M. Papaelias, "Condition monitoring of wind turbines: Techniques and methods,"Renewable Energy,vol. 46, pp. 169-178, 2012. https://doi.org/10.1016/j.renene.2012.03.003 DOI: https://doi.org/10.1016/j.renene.2012.03.003

L. F. Villa, A. Reñones, J. R. Perán, and L. J. de Miguel,"Angular resampling for vibration analysis in wind turbines under non-linear speed fluctuation,"Mechanical Systems and Signal Processing, vol. 25, no. 6, pp. 2157-2168, 2011. https://doi.org/10.1016/j.ymssp.2011.01.022 DOI: https://doi.org/10.1016/j.ymssp.2011.01.022

R. Krishnan, Electric motor drives: modeling, analysis,and control.Prentice Hall PTR, 2001.

C. H. De Angelo, "Control para máquinas de ca de ímanes permanentes con fem arbitraria, sin sensores mecânicos," Ph.D. dissertation, Universidad Nacional de La Plata, 2004.

C. De Angelo, G. Bossio, J. Solsona, G. O. Garcia,and M. I. Valla, "A rotor position and speed observer for permanent-magnet motors with non sinusoidal emf waveform,"IEEE Transactions on Industrial Electronics,vol. 52, no. 3, pp. 807-813, 2005. https://doi.org/10.1109/TIE.2005.847582 DOI: https://doi.org/10.1109/TIE.2005.847582

F. Briz and M. W. Degner, "Rotor position estimation,"IEEE Industrial Electronics Magazine, vol. 5, no. 2, pp.24-36, June 2011. https://doi.org/10.1109/MIE.2011.941118 DOI: https://doi.org/10.1109/MIE.2011.941118

B. Fischer, "Reducing rotor speed variations of floating wind turbines by compensation of non-minimum phase zeros,"IET Renewable Power Generation, vol. 7, no. 4,pp. 413-419, July 2013. https://doi.org/10.1049/iet-rpg.2012.0263 DOI: https://doi.org/10.1049/iet-rpg.2012.0263

F. D. Bianchi, H. De Battista, and R. J. Mantz,Wind Turbine control systems: principles, modelling and gain scheduling design.Springer, 2006. DOI: https://doi.org/10.1007/1-84628-493-7

L. Trilla, F. D. Bianchi, and O. Gomis-Bellmunt,"Linear parameter-varying control of permanent magnet synchronous generators for wind power systems,"IETPower Electronics, vol. 7, no. 3, pp. 692-704, March2014. https://doi.org/10.1049/iet-pel.2013.0149 DOI: https://doi.org/10.1049/iet-pel.2013.0149

M. Stiebler,Wind energy systems for electric powergeneration.Springer, 2008.

M. Chinchilla, S. Arnaltes, and J. C. Burgos, "Control Of permanent-magnet generators applied to variable-speed wind-energy systems connected to the grid,"IEEETransactions on Energy Conversion, vol. 21, no. 1, pp.130-135, March 2006. https://doi.org/10.1109/TEC.2005.853735 DOI: https://doi.org/10.1109/TEC.2005.853735

J. Solsona, M. I. Valla, and C. Muravchik, "A Nonlinear reduced order observer for permanent magnet synchronous motors,"IEEE Transactions on IndustrialElectronics, vol. 43, no. 4, pp. 492-497, 1996. https://doi.org/10.1109/41.510641 DOI: https://doi.org/10.1109/41.510641

R. Isermann,Fault-Diagnosis Systems: An Introduction From Fault Detection to Fault Tolerance.Germany:Springer, 2006. https://doi.org/10.1007/3-540-30368-5 DOI: https://doi.org/10.1007/3-540-30368-5

ISO 10816-1:1995,Mechanical vibration - Evaluation Of machine vibration by measurements on non-rotatingparts. Geneva, Switzerland: International Organization For Standardization, 1995.

Downloads

Published

2014-11-30

How to Cite

[1]
J. M. Bossio, G. R. Bossio, and C. H. de Angelo, “A Fault Detection Technique for Variable-speed Wind Turbines Using Vibrations and Electrical Measurements”, Eletrônica de Potência, vol. 19, no. 4, pp. 386–396, Nov. 2014.

Issue

Section

Original Papers