Jesse A. Andrawus
Wind turbine maintenance optimisation: principles of quantitative maintenance optimisation.
Andrawus, Jesse A.; Watson, John; Kishk, Mohammed
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|
|Peer Reviewed||Peer Reviewed|
|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|
|Keywords||Wind turbine; Maintenance optimisation; Modelling system failures; Monte Carlo simulation; Delay time maintenance model|
ANDRAWUS 2007 Wind turbine maintenance optimisation
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