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A resilience metric and its calculation for ship automation systems

机译:抵御船舶自动化系统的抵御度量及其计算

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Resilient systems maintain state awareness and an accepted level of operational normalcy in response to disturbances, including threats of an unexpected and malicious nature [1]. In this paper we present a resilience metric for a large scale multi-physics system. We summarize the resilience metric calculations methods from different domains and analyze the fundamental challenges for case-by-case resilience metric calculation methods. We propose to decompose complex systems into subsystems and calculate multiple performance metrics, which are then combined to determine the resilience metric. Based on the context of ship automation system, we define a normalized resilience metric, which can be estimated by the system decomposition approach. The value of the resilience metric is between 0 and 1, where 1 is the best possible resilience. In a case study presented in this paper, we consider a ship chiller system that is partially damaged due to an external event. The control strategy takes proper action to determine new configuration that maximizes the resilience metric.
机译:弹性系统保持国家意识和接受的运作常态水平,以应对干扰,包括意外和恶意性质的威胁[1]。在本文中,我们为大规模的多物理系统提供了一种恢复性度量。我们总结了来自不同领域的弹性度量计算方法,并为逐案恢复度量计算方法分析基本挑战。我们建议将复杂的系统分解为子系统并计算多个性能度量,然后组合以确定弹性度量。基于船舶自动化系统的背景,我们定义了归一化的弹性度量,可以通过系统分解方法估计。弹性度量的值介于0到1之间,其中1是最佳的弹性。在本文提出的一个案例研究中,我们考虑船舶冷却系统,由于外部事件,部分损坏。控制策略采用适当的操作来确定最大化弹性度量的新配置。

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