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arXiv 1302.4985cs.AI
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具有独立部件故障系统最优修复策略的多项式算法

A Polynomial Algorithm for Computing the Optimal Repair Strategy in a System with Independent Component Failures

Stanford University(斯坦福大学)

Sampath Srinivas

摘要:

诊断的目标是计算出良好的修复策略,以应对异常的系统行为。在决策理论框架下,一个好的修复策略具有较低的期望成本。在一般的制定的问题,计算的最佳(最低预期成本)修复策略的系统与多个故障是棘手的。在本文中,我们考虑一个有趣的和自然的限制被诊断的系统的行为:(a)系统表现出故障的行为,当且仅当一个或多个组件发生故障。(b)系统组件的故障是独立的。考虑到这种限制系统的行为,我们开发了一个多项式时间算法计算的最佳修复策略。然后,我们继续介绍一个系统的层次结构和概念的检查(测试)组件修复前。我们开发了一个线性时间算法计算的最优修复策略的分层系统,其中包括维修和检查。

英文摘要:

The goal of diagnosis is to compute good repair strategies in response to anomalous system behavior. In a decision theoretic framework, a good repair strategy has low expected cost. In a general formulation of the problem, the computation of the optimal (lowest expected cost) repair strategy for a system with multiple faults is intractable. In this paper, we consider an interesting and natural restriction on the behavior of the system being diagnosed: (a) the system exhibits faulty behavior if and only if one or more components is malfunctioning. (b) The failures of the system components are independent. Given this restriction on system behavior, we develop a polynomial time algorithm for computing the optimal repair strategy. We then go on to introduce a system hierarchy and the notion of inspecting (testing) components before repair. We develop a linear time algorithm for computing an optimal repair strategy for the hierarchical system which includes both repair and inspection.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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