Wind turbine maintenance optimisation: principles of quantitative maintenance optimisation.

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

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.

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

• Journal Article Type: Article
• Acceptance Date: Mar 31, 2007
• Online Publication Date: Mar 31, 2007
• Publication Date: Mar 31, 2007
• Deposit Date: Oct 21, 2008
• Publicly Available Date: Oct 21, 2008
• Journal: Wind engineering
• Print ISSN: 0309-524X
• Publisher: SAGE Publications
• Peer Reviewed: Peer Reviewed
• Volume: 31
• Issue: 2
• Pages: 101-110
• DOI: https://doi.org/10.1260/030952407781494467
• Keywords: Wind turbine; Maintenance optimisation; Modelling system failures; Monte Carlo simulation; Delay time maintenance model
• Public URL: http://hdl.handle.net/10059/228