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A high-performancemaintenance strategy for stochastic selectivemaintenance

机译:随机选择性维护的高性能维护策略

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摘要

Selective maintenance is often applied in many industrial environments where maintenance is performed between sequencemissions.When the mission time is stochastic and there aremultiplemaintenance workerswith different capacities, the system reliability of the nextwork mission can bemaximized by using a stochastic model under the constraint of the limit maintenance time. The optimal maintenance strategy is obtained with an optimization algorithm. A simulation was performed to verify the validity and feasibility of the proposed model.
机译:选择性维护通常用于在顺序任务之间进行维护的许多工业环境中。当任务时间是随机的并且有多个具有不同能力的维护人员时,可以在限制维护的约束下使用随机模型来最大化下一次任务的系统可靠性时间。通过优化算法获得最佳维护策略。进行了仿真以验证所提出模型的有效性和可行性。

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