Fault Diagnosis of Discrete Event Systems Under Unknown Initial Conditions
Fault Diagnosis of Discrete Event Systems Under Unknown Initial Conditions
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DOI：
10.1109/tac.2019.2912712
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发表时间：
2019-04
影响因子：
6.8
通讯作者：
A. White;A. Karimoddini;R. Su
中科院分区：
文献类型：
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作者：
A. White;A. Karimoddini;R. Su
提出了一种新的离散事件系统(DESS)对象模型诊断方法。开发的诊断工具，即所谓的诊断程序，能够在不了解系统过去行为的情况下检测和隔离系统故障的发生。这允许诊断器在系统运行的任何时刻(包括故障后发生)异步地开始对系统行为的诊断；因此，消除了诊断器和被诊断系统之间通常需要的同步初始化。给出了一类DES对象在这种异步情况下可诊断性的充要条件。文中提供了几个例子来说明所提出的诊断框架的细节。
This paper proposes a novel diagnosis technique for discrete event systems (DESs) plant models. The developed diagnosis tool, so called diagnoser, is able to detect and isolate the occurrence of system's faults without the knowledge of the system's past behavior. This allows the diagnoser to asynchronously begin its diagnosis of a system's behavior at any time instance of system operation (including postfault occurrences); consequently removing the generally required synchronous initialization between a diagnoser and the system under diagnosis. The necessary and sufficient conditions are derived for the diagnosability of a given DES plant under this asynchronous situation. Several examples are provided to illustrate the details of the proposed diagnosis framework.