Wind turbine maintenance optimisation: Principles of quantitative maintenance optimisation

Wind Engineering

Volumn 31, Issue 2, 2007, Pages 101-110

  Andrawus, Jesse A ^a   Watson, John ^a   Kishk, Mohammed ^a  

^a ROBERT GORDON UNIVERSITY   (United Kingdom)

Author keywords

Delay time maintenance model; Maintenance optimisation; Modelling system failures; Monte Carlo simulation; Wind turbine

Indexed keywords

COMPUTER SIMULATION; FAILURE ANALYSIS; INSPECTION; MAINTENANCE; MONTE CARLO METHODS; OPTIMIZATION; WIND POWER;

DELAY-TIME MAINTENANCE MODEL; FAILURE PATTERN; MAINTENANCE OPTIMIZATION;

WIND TURBINES;

COMPUTER SIMULATION; FAILURE ANALYSIS; INSPECTION; MAINTENANCE; MONTE CARLO METHODS; OPTIMIZATION; WIND POWER; WIND TURBINES;

MAINTENANCE; MONTE CARLO ANALYSIS; OPTIMIZATION; SIMULATION; WIND POWER; WIND TURBINE;

EID: 34548301266     PISSN: 0309524X     EISSN: None     Source Type: Journal    
DOI: 10.1260/030952407781494467     Document Type: Article

References (23)

1. Marsh, G., Wind turbines how big can they get? Refocus, 2005, 22-28.URL: www.refocus.net.
2. Gaudiosi, G., Offshore wind energy prospects Renewable Energy, 1999, 16(1-4), 828-834
3. Rademakers, L. W. and Verbruggen, T, Maintenance manager to control operation and maintenance of offshore wind farms, International Journal of Environment and sustainable Development, 2002, 1(4), 370-378.
4. Conover, K., VandenBosche, J., Rhoads, H. and Smith, B., Review of operation and maintenance experience in the DOE-EPRI wind turbine verification program, Proceedings of American Wind Energy Association's WindPower 2000, NREL/CP-500-28620.
5. Andrawus, J.A., Watson, J., Kishk, M. and Adam, A., Determining an appropriate Condition-Based Maintenance strategy for wind turbines Proceedings of the 2nd Joint International Conference on "Sustainable Energy and Environment" Bangkok 2006, 275-280.
6. Andrawus, J.A., Watson, J., Kishk, M. and Adam, A., The Selection of a Suitable Maintenance Strategy for Wind Turbines, Wind Engineering, 2066, 30 (6), 471-486.
7. Arthur. N., Optimisation of vibration analysis inspection intervals for an offshore Oil and Gas water injection pumping system, Proceedings of the IMECH E Part E Journal of Process Mechanical Engineering, Number E3, August 2005, 251-259.
8. Scarf, P.A., On the application of mathematical models in maintenance, European Journal of Operational Research, 1997, 99, 493-506.
9. British Standard Institution, BS3811 Glossary of maintenance terms in terotechnology, BSI, London, 1984.
10. System Reliability Center URL: http://src.alionscience.com/pdf/ MaintOptimDesc.pdf
11. Learney, V.C., Sharpe, D.J., and Infield, D., Condition monitoring technique for optimisation of wind farm performance International Journal of COMADEM,1999,2(1), 5-13.
12. Dekker R., Application of maintenance optimization models: a review and analysis Reliability Engineering and System Safety, 1996,51,229-240.
13. Chiang, J.H., and Yuan, J., Optimal maintenance policy for a Markovian system under periodic inspection, Reliability Engineering and System Safety, 2001, 71,165-172.
14. Tsai, Y.T., Wang, K.S., and Teng, H.Y., Optimizing preventive maintenance for mechanical components using genetic algorithms, Reliability Engineering and System Safety 2001, 74, 89-97.
15. Davidson, J., and Hunsley, C., The Reliability of Mechanical Systems. 2nd ed. Institute of Mechanical Engineers, Great Britain; 1994.
16. Moubray, J., Reliability-Centred Maintenance II. 2nd ed. Butter-Heinemann; 1991.
17. Cohen, A.C., Maximum Likelihood estimation in the Weibull Distribution Based on Complete and on Censored Samples Technometrics, 1965, 7(4), 579-588.
18. Harris, J.W., and Stocker, H., Hand book of mathematics and computational science. New York: Springer-verlag; 1998
19. Rausand, M., Reliability-Centred Maintenance Reliability Engineering and System Safety, 1998, 60, 121-132.
20. Baker, R.D., Scarf, P.A., and Wang, W., A delay-time model for repairable machinery: maximum likelihood estimation of optimum inspection intervals, IMA Journal of Mathematics Applied in Business and Industry, 1997, 8, 83-92.
21. Baker, R.D., and Wang, W., Estimating the delay-time distribution of faults in repairable machinery from failure data, I.M.A. Journal of Mathematics Applied in Business and Industry, 1991, 3, 259-282.
22. Baker, R.D., and Christer, A.H., Review of delay-time OR modelling of engineering aspect of maintenance, European Journal of Operational Research, 1994, 73, 407-422.
23. Sherwin, D., The case for more comprehensive data collection and how it might be achieved: Part 2, Asset Management and Maintenance, 2005, 20(4), 34-40.