An FMEA-based risk assessment approach for wind turbine systems: A comparative study of onshore and offshore

Energies

Volumn 7, Issue 2, 2014, Pages 619-642

  Shafiee, Mahmood ^a   Dinmohammadi, Fateme ^b  

^a CRANFIELD UNIVERSITY   (United Kingdom)

^b Renewable Energy Organization   (Iran)

Author keywords

Failure mode and effects analysis (FMEA); Offshore wind turbine; Onshore wind turbine; Risk assessment; Risk priority number (RPN)

Indexed keywords

ELECTRIC UTILITIES; FAILURE MODES; OUTAGES; RISK ASSESSMENT; RISKS; WIND POWER; WIND TURBINES;

ASSESSMENT APPROACHES; ECONOMIC CONSIDERATIONS; FAILURE MODE ANALYSIS; FAILURE MODE AND EFFECTS ANALYSIS; LOGISTICS AND TRANSPORTATIONS; ONSHORE WIND TURBINE; RISK PRIORITY NUMBER; WIND TURBINE SYSTEMS;

OFFSHORE WIND TURBINES;

EID: 84894515037     PISSN: None     EISSN: 19961073     Source Type: Journal    
DOI: 10.3390/en7020619     Document Type: Article

References (36)

1. European Wind Energy Association. Wind in Power, 2012 European Statistics; EWEA: Brussels, Belgium, 2013. Available online: http://www.ewea.org/fileadmin/files/library/publications/statistics/Wind_in_power_annual_statistics_2012.pdf (accessed on 4 March 2013).
2. Hameed, Z.; Vatn, J. Role of grouping in the development of an overall maintenance optimization framework for offshore wind turbines. Proc. IMechE Part O J. Risk Reliab. 2012, 226, 584-601.
3. Gilchrist, W. Modeling failure mode and effect analysis. Int. J. Qual. Reliab. Manag. 1993, 10, 16-23.
4. Teng, S.-H.; Ho, S.-Y. Failure mode and effects analysis: An integrated approach for design and process control. Int. J. Qual. Reliab. Manag. 1996, 13, 8-26.
5. Kumar, A.; Poonia, M.P.; Pandel, U.; Jethoo, A.S. FMEA: Methodology, design and implementation in a foundry. Int. J. Eng. Sci. Technol. 2011, 3, 5288-5297.
6. Guimaraes, A.C.F.; Lapa, D.M.F.; Moreira, M.L. Fuzzy methodology applied to probabilistic safety assessment for digital system in nuclear power plants. Nucl. Eng. Des. 2011, 241, 3967-3976.
7. Liu, H.-T.; Tsai, Y.-L. A fuzzy risk assessment approach for occupational hazard in the construction industry. Saf. Sci. 2012, 50, 1067-1078.
8. Sharma, R.K.; Kumar, D.; Kumar, P. Systematic failure mode effect analysis (FMEA) using fuzzy linguistic modelling. Int. J. Qual. Reliab. Manag. 2005, 22, 986-1004.
9. Pillay, A.; Wang, J. Modified failure mode and effects analysis using approximate reasoning. Reliab. Eng. Syst. Saf. 2003, 79, 69-85.
10. Liu, H.-C.; Liu, L.; Bian, Q.-H.; Lin, Q.-L.; Dong, N.; Xu, P.-C. Failure mode and effects analysis using fuzzy evidential reasoning approach and grey theory. Expert Syst. Appl. 2011, 38, 4403-4415.
11. Andrawus, J. Maintenance Optimization for Wind Turbines. Ph.D. Thesis, School of Engineering, Robert Gordon University, Aberdeen, UK, 2008.
12. Fischer, K.; Besnard, F.; Bertling, L. Reliability-centered maintenance for wind turbines based on statistical analysis and practical experience. IEEE Trans. Energy Convers. 2012, 27, 184-195.
13. Kahrobaee, S.; Asgarpoor, S. Risk-Based Failure Mode and Effect Analysis for Wind Turbines (RB-FMEA). In Proceedings of the North American Power Symposium (NAPS), Boston, MA, USA, 4-6 August 2011; pp. 1-7.
14. Das, M.K.; Panja, S.C.; Chowdhury, S.; Chowdhury S.P.; Elombo, A.I. Expert-Based FMEA of Wind Turbine System. In Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Singapore, Singapore, 6-9 December 2011; pp. 1585-1589.
15. Dinmohammadi, F.; Shafiee, M. A fuzzy-FMEA risk assessment approach for offshore wind turbines. Int. J. Progn. Health Manag. 2013, 4, 1-10. Available online: http://www.phmsociety.org/sites/phmsociety.org/files/phm_submission/2013/ijphm_13_013.pdf (accessed on 1 July 2013).
16. Sunder, T.S.; Kesavan, R. Failure modes and effects analysis system deployment in a wind turbine at high uncertain wind environment. Adv. Sci. Lett. 2013, 19, 2166-2169.
17. Tavner, P.J.; Higgins, A.; Arabian-Hoseynabadi, H.; Long, H.; Feng, Y. Using an FMEA Method to Compare Prospective Wind Turbine Design Reliabilities. In Proceedings of the European Wind Energy Conference, Warsaw, Poland, 20-23 April 2010; pp. 1-7.
18. Arabian-Hoseynabadi, H.; Oraee, H.; Tavner, P.J. Failure modes and effects analysis (FMEA) for wind turbines. Int. J. Electr. Power Energy Syst. 2010, 32, 817-824.
19. Dinmohammadi, F.; Shafiee, M. An Economical FMEA-Based Risk Assessment Approach for Wind Turbine Systems. In Proceedings of the European Safety, Reliability and Risk Management (ESREL), Amsterdam, The Netherlands, 30 September-2 October 2013; pp. 2127-2136.
20. Li, H.; Chen, Z. Overview of different wind generator systems and their comparisons. IET Renew. Power Gener. 2008, 2, 123-138.
21. Pinar, J.M.; García, F.P.; Tobias, A.M.; Papaelias, M. Wind turbine reliability analysis. Renew. Sustain. Energy Rev. 2013, 23, 463-472.
22. Carlin, P.W.; Laxson, A.S.; Muljadi, E.B. The history and state of the art of variable-speed wind turbine technology. Wind Energy 2003, 6, 129-159.
23. Muller, S.; Deicke, M.; de Doncker, R.W. Doubly fed induction generator systems for wind turbines. IEEE Ind. Appl. Mag. 2002, 8, 26-33.
24. Carlson, R.; Voltolini, H.; Runcos, F.; Kuo-Peng, P. A Performance Comparison between Brush and Brushless Doubly Fed Asynchronous Generators for Wind Power Systems. In Proceedings of the International Conference on Renewable Energies and Power Quality (ICREPQ), Balearic Island, Spain, 5-7 April 2006; pp. 1-5.
25. Márquez, F.P.G.; Tobias, A.M.; Pérez, J.M.P.; Papaelias, M. Condition monitoring of wind turbines: Techniques and methods. Renew. Energy 2012, 46, 169-178.
26. Andrews, J.D.; Moss, T.R. Reliability and Risk Assessment, 2nd ed.; Wiley-Blackwell: Hoboken, NJ, USA, 2002.
27. Herbert, G.M.J.; Iniyan, S.; Goic, R. Performance, reliability and failure analysis of wind farm in a developing country. Renew. Energy 2010, 35, 2739-2751.
28. Amayri, A.; Tian, Z.; Jin, T. Condition Based Maintenance of Wind Turbine Systems Considering Different Turbine Types. In Proceedings of the International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), Chengdu, China, 15-18 June 2011; pp. 596-600.
29. Karyotakis, A. On the Optimization of Operation and Maintenance Strategies for Offshore Wind Farms. Ph.D. Thesis, Department of Mechanical Engineering, University College London, London, UK, 2011.
30. Besnard, F. On Maintenance Optimization for Offshore Wind Farms. Ph.D. Thesis, Department of Energy and Environment, Chalmers University of Technology, Gothenburg, Sweden, 2013.
31. Shafiee, M.; Patriksson, M.; Strömberg, A.-B.; Bertling, L. A Redundancy Optimization Model Applied to Offshore Wind Turbine Power Converters. In Proceedings of the IEEE PowerTech Conference, Grenoble, France, 16-20 June 2013; doi:10.1109/PTC.2013.6652427.
32. Windchill Quality Solution. Available online: http://www.ptc.com/products/windchill/quality/(accessed on 18 March 2013).
33. Windchill FMEA Software. Available online: http://www.ptc.com/product/windchill/fmea (accessed on 18 March 2013).
34. Shafiee, M.; Patriksson, M.; Strömberg, A.-B. An optimal number-dependent preventive maintenance strategy for offshore wind turbine blades considering logistics. Adv. Oper. Res. 2013, doi:10.1155/2013/205847.
35. Yang, W.; Tavner, P.J.; Crabtree, C.J.; Feng, Y.; Qiu, Y. Wind turbine condition monitoring: Technical and commercial challenges. Wind Energy 2012, doi:10.1002/we.1508.
36. Braglia, M. MAFMA: Multi-attribute failure mode analysis. Int. J. Qual. Reliab. Manag. 2000, 17, 1017-1033.