Wind Turbine Maintenance Optimisation: principles of quantitative maintenance optimisation

被引:56
作者
Andrawus, Jesse [1 ]
Watson, John [1 ]
Kishk, Mohammed [2 ]
机构
[1] Robert Gordon Univ, Sch Engn, Schoolhill, Aberdeen AB10 1FR, Scotland
[2] Robert Gordon Univ, Scott Sutherland Sch, Aberdeen AB10 7QB, Scotland
关键词
Wind turbine; Maintenance optimisation; Modelling System Failures; Monte Carlo Simulation; Delay-time maintenance model;
D O I
10.1260/030952407781494467
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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.
引用
收藏
页码:101 / 110
页数:10
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