In this paper, we introduce a new, single-component model for maintenance optimization under time-varying costs, specifically oriented at offshore wind turbine maintenance. We extend the standard age replacement policy (ARP), block replacement policy (BRP) and modified block replacement policy (MBRP) to address time-varying costs. We prove that an optimal maintenance policy under time-varying costs is a time-dependent ARP policy. Via a discretization of time, the optimal time-dependent ARP can be found using a linear programming formulation. We also present mixed integer linear programming models for parameter optimization of BRP and MBRP. We present a business case and apply our policies for maintenance planning of a wind turbine gearbox and show that we can achieve savings up-to 23%.

在本文中，我们介绍了一种新的单组件模型，用于在时变成本下进行维护优化，特别针对海上风力涡轮机的维护。我们扩展了标准年龄替换策略 (ARP)、块替换策略 (BRP) 和修改块替换策略 (MBRP) 以解决时变成本。我们证明了时变成本下的最优维护策略是时间相关的 ARP 策略。通过时间的离散化，可以使用线性规划公式找到最佳的时间相关 ARP。我们还提出了用于 BRP 和 MBRP 参数优化的混合整数线性规划模型。我们展示了一个商业案例并将我们的政策应用于风力涡轮机齿轮箱的维护计划，并表明我们可以实现高达 23% 的节省。