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首页> 外文期刊>IEEE Transactions on Systems, Man, and Cybernetics >Performability Evaluation of Water Distribution Systems During Maintenance Procedures
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Performability Evaluation of Water Distribution Systems During Maintenance Procedures

机译:维修程序期间水分配系统的性能评估

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摘要

A Water Distribution System (WDS) is a critical infrastructure for society and economy, subject to frequent maintenance either for contingencies or planned operations. Maintenance procedures affect the hybrid dynamics of a WDS at stochastic time points, representing the completion of repair activities that change the WDS topology and operation mode. Hence, the problem of performability evaluation of the WDS behavior during a maintenance intervention falls in the class of stochastic hybrid systems (SHSs), for which existing numerical or simulative approaches cannot afford the complexity of realistic WDSs. We propose a viable approach that computes the expected demand not served during a maintenance procedure by integrating fluid-dynamic analysis of the WDS with quantitative evaluation of the procedure timing, notably assuming non-Markovian repair times over a bounded support. Different solution techniques are presented to evaluate the joint distribution of the times when the procedure affects the WDS, performing either simulation of the procedure model or state-space analysis based on an extension of the method of stochastic state classes. Feasibility and effectiveness of the proposed methods are assessed on a real WDS in terms of result accuracy and computational complexity, showing that the overall approach could be efficiently applied in higher level tasks including activity scheduling, resource planning, and budget allocation.
机译:水分配系统(WDS)是社会和经济的关键基础设施,常常维护常规或计划的运营。维护程序会影响随机时间点的WDS的混合动态,代表改变WDS拓扑和操作模式的修复活动完成。因此,维护干预期间WDS行为的可操作性评估的问题落入随机混合系统(SHSS)的类中,其现有数值或模拟方法不能承受现实WDS的复杂性。我们提出了一种可行的方法,通过将WD的流体动态分析与程序定时的定量评估集成,显着地假设非马车维修时间超过界限支持,计算在维护过程中不提供的可行方法。提出了不同的解决方案技术以评估程序当程序影响WDS的时间的关节分布,基于随机状态类方法的扩展,执行程序模型或状态空间分析的仿真。在结果准确性和计算复杂性方面,在实际WDS上评估了所提出的方法的可行性和有效性,表明整体方法可以有效地应用于更高级别的任务,包括活动调度,资源规划和预算分配。

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