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Wind turbine maintenance optimisation: principles of quantitative maintenance optimisation.

Andrawus, Jesse A.; Watson, John; Kishk, Mohammed

Authors

Jesse A. Andrawus

John Watson

Mohammed Kishk



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 spareholdings 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.

Journal Article Type Article
Publication Date Mar 31, 2007
Journal Wind engineering
Print ISSN 0309-524X
Publisher SAGE Publications
Peer Reviewed Peer Reviewed
Volume 31
Issue 2
Pages 101-110
Institution Citation ANDRAWUS, J.A., WATSON, J. and KISHK, M. 2007. Wind turbine maintenance optimisation: principles of quantitative maintenance optimisation. Wind engineering [online], 31(2), pages 101-110. Available from: https://doi.org/10.1260/030952407781494467
DOI https://doi.org/10.1260/030952407781494467
Keywords Wind turbine; Maintenance optimisation; Modelling system failures; Monte Carlo simulation; Delay time maintenance model

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