Maintenance is essential in keeping wind energy assets operating efficiently. With the development of advanced condition monitoring, diagnostics and prognostics, condition-based maintenance has attracted much attention in the offshore wind industry in recent years. This paper models various maintenance activities and their impacts on the degradation and performance of offshore wind turbine components. An integrated maintenance strategy of corrective maintenance, imperfect time-based preventive maintenance and condition-based maintenance is proposed and compared with other traditional maintenance strategies. A maintenance simulation programme is developed to simulate the degradation and maintenance of offshore wind turbines and estimate their performance. A case study on a 10-MW offshore wind turbine (OWT) is presented to analyse the performance of different maintenance strategies. The simulation results reveal that the proposed strategy not only reduces the total maintenance cost but also improves the energy generation by reducing the total downtime and expected energy not supplied. Furthermore, the proposed maintenance strategy is optimised to find the best degradation threshold and balance the trade-off between the use of condition-based maintenance and other maintenance activities.

中文翻译：

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海上风力发电机组基于状态的综合维护建模和优化

维护对于保持风能资产有效运行至关重要。近年来，随着先进状态监测、诊断和预测技术的发展，基于状态的维护在海上风电行业备受关注。本文模拟了各种维护活动及其对海上风力涡轮机部件的退化和性能的影响。提出了纠正性维护、不完善的基于时间的预防性维护和基于状态的维护的综合维护策略，并与其他传统维护策略进行了比较。开发了维护模拟程序来模拟海上风力涡轮机的退化和维护并估计其性能。介绍了一个 10 兆瓦海上风力涡轮机 (OWT) 的案例研究，以分析不同维护策略的性能。仿真结果表明，所提出的策略不仅降低了总维护成本，而且通过减少总停机时间和预期未供应能量来提高能量产生。此外，对所提出的维护策略进行了优化，以找到最佳退化阈值并平衡使用基于条件的维护和其他维护活动之间的权衡。