A feasibility study into prognostics for the main bearing of a wind turbine

Proceedings of the IEEE International Conference on Control Applications

Volumn , Issue , 2012, Pages 1092-1097

  Butler, Shane ^a   O'Connor, Frank ^b   Farren, Des ^b   Ringwood, John V ^a  

^a NATIONAL UNIVERSITY OF IRELAND   (Ireland)

^b ServusNet Informatics Ltd   (Ireland)

Author keywords

[No Author keywords available]

Indexed keywords

CONFIDENCE MEASURE; COST COMPONENTS; DECISION SUPPORT TOOLS; FAILURE POINTS; FEASIBILITY STUDIES; MINIMUM COST; PARTICLE FILTER; REMAINING USEFUL LIVES; RESIDUAL MODEL; WIND FARM; WIND TURBINE SYSTEMS;

COSTS; DECISION SUPPORT SYSTEMS; ELECTRIC UTILITIES; MAINTENANCE; PROBABILITY DISTRIBUTIONS; WIND POWER;

WIND TURBINES;

EID: 84873109343     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCA.2012.6402684     Document Type: Conference Paper

References (27)

1. W. W. E. A. (WWEA), "World wind energy report 2010," World Wind Energy Association (WWEA), Tech. Rep., 2010
2. D. McMillan and G. W. Ault, "Quantification of condition monitoring benefit for offshore wind turbines," Wind Engineering, vol. 31, pp. 267-285, 2007 (Pubitemid 351267150)
3. Z. Hameed, Y. Hong, Y. Cho, S. Ahn, and C. 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
4. B. Lu, Y. Li, X. Wu, and Z. Yang, "A review of recent advances in wind turbine condition monitoring and fault diagnosis," in Power Electronics and Machines in Wind Applications, 2009. PEMWA 2009. IEEE, june 2009, pp. 1-7
5. R. W. Hyers, J. G. Mcgowan, K. L. Sullivan, J. F. Manwell, and B. C. Syrett, "Condition monitoring and prognosis of utility scale wind turbines," Energy Materials: Materials Science and Engineering for Energy Systems, vol. 1, no. 3, pp. 187-203, 2006-09-01T00:00:00
6. R. F. Orshagh, H. Lee, M. Watson, C. S. Byington, and J. Powers, "Advanced vibration monitoring for wind turbine health management," 2007
7. G. Swiszcz, A. Cruden, C. Booth, and W. Leithead, "A data acquisition platform for the development of a wind turbine condition monitoring system," in Intl. Conf. on Condition Monitoring and Diagnosis, April 2008, pp. 1358-1361
8. S. Yang, W. Li, and C. Wang, "The intelligent fault diagnosis of wind turbine gearbox based on artificial neural network," in Condition Monitoring and Diagnosis, 2008. CMD 2008. International Conference on, april 2008, pp. 1327-1330
9. W. Yang, P. Tavner, and M. Wilkinson, "Condition monitoring and fault diagnosis of a wind turbine synchronous generator drive train," IET Renewable Power Generation, vol. 3, no. 1, pp. 1-11, March 2009
10. D. J. Lekou, F. Mouzakis, A. Anastasopoulus, and D. Kourousis, "Emerging techniques for health monitoring of wind turbine gearboxes and bearings," in Proceedings of European Wind Energy Conference (EWEC), Marseille, March 2009
11. K. Schroeder, W. Ecke, J. Apitz, E. Lembke, and G. Lenschow, "A fibre bragg grating sensor system monitors operational load in a wind turbine rotor blade," Measurement Science and Technology, vol. 17, no. 5, p. 1167, 2006
12. O. Uluyol, G. Parthasarathy, W. Foslien, and K. Kim, "Power curve analytic for wind turbine performance monitoring and prognostics," in Proc. Annual Conf. of the Prognostics and Health Management Soc., 2011
13. P. Caselitz and J. Giebhardt, "Rotor condition monitoring for improved operational safety of offshore wind energy converters," Journal of Solar Energy Engineering, vol. 127, no. 2, pp. 253-261, 2005 (Pubitemid 40715346)
14. A. Zaher, S. McArthur, D. Infield, and Y. Patel, "Online wind turbine fault detection through automated scada data analysis," Wind Energy, vol. 12, no. 6, pp. 574-593, 2009
15. M. C. Garcia, M. A. Sanz-Bobi, and J. del Pico, "Simap: Intelligent system for predictive maintenance: Application to the health condition monitoring of a windturbine gearbox," Computers in Industry, vol. 57, no. 6, pp. 552-568, 2006 (Pubitemid 44093747)
16. P. Guo, D. Infield, and X. Yang, "Wind turbine generator conditionmonitoring using temperature trend analysis," Sustainable Energy, IEEE Transactions on, vol. 3, no. 1, pp. 124-133, January 2012
17. J. Butler and J. Ringwood, "Particle filters for remaining useful life estimation of abatement equipment used in semiconductor manufacturing," in Proc. IEEE Conf. on Control and Fault-Tolerant Systems (SysTol), Nice, October 2010, pp. 436-441
18. N. raper and H. Smith, pplied Regression Analysis, 2nd ed. Wiley, 1981
19. E. Wiggelinkhuizen, T. Verbruggen, H. Braam, L. Rademakers, J. Xiang, and S. Watson, "Assessment of condition monitoring techniques for offshore wind farms," Journal of Solar Energy Engineering, vol. 130, no. 3, p. 031004, 2008
20. M. E. Tipping and A. Faul, "Fast marginal likelihood maximisation for sparse bayesian models," in Proc. 9th International Workshop on AI and Stats., 2003
21. Z. I. Botev, J. F. Grotowski, and D. P. Kroese, "Kernel density estimation via diffusion," The Annals of Statistics, vol. 38, no. 5, pp. 2916-2957, 2010
22. M. Orchard and G. Vachtsevanos, "A particle filtering based framework for on-line fault diagnosis and failure prognosis," Trans. Inst. Meas. and Con., vol. 31, pp. 221-246, 2009
23. M. Orchard, L. Tang, B. Saha, K. Goebel, and G. Vachtsevanos, "Risksensitive particle-filtering-based prognosis framework for estimation of remaining useful life in energy storage devices," Studies in Informatics and Control, vol. 19
24. B. Saha and K. Goebel, "Modeling li-ion battery capacity depletion in a paticle fitering framework," in Ann. Conf. of Prognostics and Health Management Society, 2009
25. A. Doucet, S. Godsill, and C. Andrieu, "On sequential monte carlo sampling methods for bayesian filtering," Statistics and Computing, vol. 10, no. 3, pp. 197-208, 2000
26. M. S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, "A tutorial on particle filters for online nonlinear/non-Gaussian bayesian tracking," IEEE Trans. on Sig. Proc., vol. 50, no. 2, pp. 174-188, February 2002 (Pubitemid 34291500)
27. L. Tang, G. J. Kacprzynski, K. Goebel, and G. Vachtsevanos, "Methodologies for uncertainty management in prognostics," in Proc. IEEE Conf. on Aerospace, March 2009, pp. 1-12.