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Modelling System Failures to Optimise Wind Turbine Maintenance

机译:建模系统故障以优化风力涡轮机维护

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Modelling System Failures (MSF) is a unique quantitative maintenance optimisation technique which permits the evaluation of life-data samples and enables the design and simulation of the system's model to determine optimum maintenance activities. In this paper, the approach of MSF is used to assess the failure characteristics of a horizontal axis wind turbine; Field failure data are collated and analysed using the Maximum Likelihood Estimation in the Weibull Distribution; hence shape (β) and scale (η) parameters are estimated for critical components and subsystems of the wind turbine. Reliability Block Diagrams are designed to model the failures of the wind turbine and of a selected wind farm. The models are simulated to assess the reliability, availability and maintainability of the wind turbine and the farm; taking into account the costs and availability of maintenance crew and spares holding. Optimal maintenance activities are determined to minimise the total life-cycle cost of the wind farm.
机译:建模系统故障(MSF)是一种独特的定量维护优化技术,该技术可以评估生命数据样本,并可以设计和仿真系统模型来确定最佳维护活动。在本文中,MSF方法被用于评估水平轴风力发电机的故障特性。使用威布尔分布中的最大似然估计来整理和分析现场故障数据;因此,将估算风力涡轮机的关键组件和子系统的形状(β)和比例(η)参数。可靠性框图旨在模拟风力涡轮机和选定风电场的故障。对模型进行仿真以评估风力涡轮机和农场的可靠性,可用性和可维护性;考虑到维护人员和备用零件的成本和可用性。确定最佳的维护活动以最小化风电场的整个生命周期成本。

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