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Co-optimization of state dependent loading and mission abort policy in heterogeneous warm standby systems

机译:异构热备用系统中状态依赖的加载和任务中止策略的共同优化

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This paper models and optimizes a 1-out-of-N: G heterogeneous warm standby system subject to state-dependent component loading and mission abort policies. For circumstances where a system's survival may have a higher priority than continuing a specified mission due to cost or safety reasons, when a certain incident or malfunction condition is met based on a predefined decision rule, the mission objective is aborted and a rescue procedure is performed for system survival. The mission abort policy implemented can affect the system performance significantly. In addition, load levels of system components affect their performances (e.g., productivity) and time to-failure distributions, and further affect the overall system performance. This paper makes new contributions by formulating and solving a co-optimization problem that finds the optimal combination of mission abort and component loading policies, maximizing the mission success probability while providing a desired level of system survivability. As demonstrated through examples, the co-optimization results can facilitate optimal decisions on effective and safe operations management of warm standby systems. (C) 2017 Elsevier Ltd. All rights reserved.
机译:本文对受状态依赖的组件加载和任务中止策略影响的N中的1:G异构热备用系统进行建模和优化。在某些情况下,由于成本或安全原因,系统的生存可能比继续执行指定的任务具有更高的优先级时,当根据预定义的决策规则满足特定的事件或故障条件时,任务目标将中止并执行救援程序为系统生存。实施的任务中止策略可能会严重影响系统性能。此外,系统组件的负载水平会影响其性能(例如,生产率)和故障时间分布,并进一步影响整体系统性能。本文通过制定和解决一个共同优化问题做出新的贡献,该问题可以找到任务中止和组件加载策略的最佳组合,最大程度地提高任务成功概率,同时提供所需的系统生存能力。如通过示例所示,共同优化结果可以促进对热备用系统进行有效和安全的运行管理的最佳决策。 (C)2017 Elsevier Ltd.保留所有权利。

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