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首页> 外文期刊>Advances in Operations Research >An Optimal Number-Dependent Preventive Maintenance Strategy for Offshore Wind Turbine Blades Considering Logistics
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An Optimal Number-Dependent Preventive Maintenance Strategy for Offshore Wind Turbine Blades Considering Logistics

机译:考虑物流的海上风电叶片最佳数量依赖预防性维修策略

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摘要

In offshore wind turbines, the blades are among the most critical and expensive components that suffer from different types of damage due to the harsh maritime environment and high load. The blade damages can be categorized into two types: the minor damage, which only causes a loss in wind capture without resulting in any turbine stoppage, and the major (catastrophic) damage, which stops the wind turbine and can only be corrected by replacement. In this paper, we propose an optimal number-dependent preventive maintenance (NDPM) strategy, in which a maintenance team is transported with an ordinary or expedited lead time to the offshore platform at the occurrence of the Nth minor damage or the first major damage, whichever comes first. The long-run expected cost of the maintenance strategy is derived, and the necessary conditions for an optimal solution are obtained. Finally, the proposed model is tested on real data collected from an offshore wind farm database. Also, a sensitivity analysis is conducted in order to evaluate the effect of changes in the model parameters on the optimal solution.
机译:在海上风力涡轮机中,叶片是最关键和最昂贵的组件之一,由于恶劣的海上环境和高负荷而遭受不同类型的损坏。叶片损坏可分为两种类型:轻微损坏(仅造成风阻损失而不会导致任何涡轮机停机)和主要(灾难性)损坏,使风力涡轮机停止运转并且只能通过更换来纠正。在本文中,我们提出了一种最佳的数量依赖型预防性维护(NDPM)策略,其中,在第N次轻微损坏或第一个重大损坏发生时,以通常或快速的交货时间将维修团队运送到海上平台,以先到者为准。得出了维护策略的长期预期成本,并获得了最佳解决方案的必要条件。最后,对从海上风电场数据库收集的真实数据进行了测试。另外,进行了敏感性分析,以评估模型参数的变化对最优解的影响。

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