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Probabilistic logical approach for testing diagnosability of stochastic discrete event systems

机译:概率逻辑方法,用于测试随机离散事件系统的可诊断性

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摘要

Fault diagnosis plays an important role in the prevention of harmful events in discrete event systems (DESs). Stochastic DES (SDES) is a more precise formulation of DES. In this paper, a novel approach that uses probabilistic logic to diagnose SDES is investigated. SDES is formalized as a set of probabilistic logical formulas. Moreover, a logical diagnoser is presented. Fault diagnosis of SDES has two properties: A-di-agnosability and AA-diagnosability. On the basis of resolution principle, an algorithm is proposed to test A-diagnosability and AA-diagnosability of the SDES. Experimental results demonstrate that our algorithm improves the accuracy and efficiency of verifying diagnosability of SDES.
机译:故障诊断在预防离散事件系统(DES)中的有害事件中起着重要作用。随机DES(SDES)是DES的更精确公式。本文研究了一种使用概率逻辑诊断SDES的新颖方法。 SDES被形式化为一组概率逻辑公式。此外,提出了逻辑诊断器。 SDES的故障诊断具有两个属性:A-di可诊断性和AA可诊断性。根据解析原理,提出了一种算法来测试SDES的A-可诊断性和AA-可诊断性。实验结果表明,我们的算法提高了验证SDES可诊断性的准确性和效率。

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    Key Laboratory of Symbolic Computation and Knowledge Engineering, Ministry of Education, Jilin University, Changchun, China,College of Computer Science and Technology, Jilin University, Changchun, China;

    Key Laboratory of Symbolic Computation and Knowledge Engineering, Ministry of Education, Jilin University, Changchun, China,College of Computer Science and Technology, Jilin University, Changchun, China;

    College of Mathematics, Physics, and Information Engineering, Zhejiang Normal University, Jinhua, China;

    Key Laboratory of Symbolic Computation and Knowledge Engineering, Ministry of Education, Jilin University, Changchun, China,College of Computer Science and Technology, Jilin University, Changchun, China;

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  • 正文语种 eng
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  • 关键词

    Fault diagnosis; Stochastic discrete event system; Logical diagnoser; Logical diagnosability; A-diagnosability; AA-diagnosability;

    机译:故障诊断;随机离散事件系统;逻辑诊断程序;逻辑可诊断性;可诊断性;AA可诊断性;

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