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Abstract

Maintenance optimisation is a crucial issue for industries that utilise physical assets due to its impact on costs, risks and performance. Current quantitative maintenance optimisation techniques include Modelling System Failures MSF (using monte-carlo simulation) and Delay-Time Maintenance Model (DTMM). The MSF investigates equipment failure patterns by using failure distribution, resource availability and spare-holdings to determine optimum maintenance requirements. The DTMM approach examines equipment failure patterns by considering failure consequences, inspection costs and the period to determine optimum inspection intervals. This paper discusses the concept, relevance and applicability of the MSF and DTMM techniques to the wind energy industry. Institutional consideration as well as the benefits of practical implementation of the techniques are highlighted and discussed.

Keywords

Wind turbine Maintenance optimisation Modelling System Failures Monte Carlo Simulation Delay-time maintenance model

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References

Marsh

, Wind turbines how big can they get? Refocus, 2005, 22–28. URL: www.refocus.net.

Gaudiosi

, Offshore wind energy prospects, Renewable Energy, 1999, 16(1–4), 828–834.

Rademakers

L. W.

Verbruggen

, Maintenance manager to control operation and maintenance of offshore wind farms, International Journal of Environment and sustainable Development, 2002, 1(4), 370–378.

Conover

VandenBosche

Rhoads

Smith

, 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.

Andrawus

J.A.

Watson

Kishk

Adam

, 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.

Andrawus

J.A.

Watson

Kishk

Adam

, The Selection of a Suitable Maintenance Strategy for Wind Turbines, Wind Engineering, 2006, 30 (6), 471–486.

Arthur

, Optimisation of vibration analysis inspection intervals for an offshore Oil and Gas water injection pumping system, Proceedings of the I MECH E Part E Journal of Process Mechanical Engineering, Number E3, August 2005, 251–259.

Scarf

P.A.

, On the application of mathematical models in maintenance, European Journal of Operational Research, 1997, 99, 493–506.

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.

Infield

, Condition monitoring technique for optimisation of wind farm performance, International Journal of COMADEM, 1999, 2(1), 5–13.

12.

Dekker

, Application of maintenance optimization models: A review and analysis, Reliability Engineering and System Safety, 1996, 51, 229–240.

13.

Chiang

J.H.

Yuan

, 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.

Teng

H.Y.

, Optimizing preventive maintenance for mechanical components using genetic algorithms, Reliability Engineering and System Safety 2001, 74, 89–97.

15.

Davidson

Hunsley

, The Reliability of Mechanical Systems. 2nd ed. Institute of Mechanical Engineers, Great Britain; 1994.

16.

Moubray

, 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.

Stocker

, Hand book of mathematics and computational science. New York: Springer-verlag; 1998.

19.

Rausand

, Reliability-Centred Maintenance, Reliability Engineering and System Safety, 1998, 60, 121–132.

20.

Baker

R.D.

Scarf

P.A.

Wang

, 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.

Wang

, 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.

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

, The case for more comprehensive data collection and how it might be achieved: Part 2, Asset Management and Maintenance, 2005, 20(4), 34–40.

Wind Turbine Maintenance Optimisation: Principles of Quantitative Maintenance Optimisation

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