论文标题
在非确定性观察下,离散事件系统的故障诊断,输出公平
Fault Diagnosis of Discrete-Event Systems under Non-Deterministic Observations with Output Fairness
论文作者
论文摘要
在本文中,我们在非确定性观察下重新审视了离散事件系统(DES)的故障诊断问题。非确定性观察是一个一般观察模型,其中包括间歇性观察丧失的情况。在这种情况下,发生事件时,传感器读数可能是非确定性的,因此一组输出符号都是可能的。在非确定性观察下进行故障诊断的现有作品需要考虑所有可能的观察实现。但是,这种方法包括某些可能的输出永久禁用的情况。在这项工作中,我们介绍了输出公平性的概念,要求对于任何输出符号,如果它具有无限的机会,则确实会产生无限的次数。我们使用假设保证类型的线性时间逻辑公式来形式描述该假设。提出了一个新的概念,称为输出诊断性(可诊断性)。提供了一种有效的方法来验证诊断性。我们表明,提出的可诊断性概念比非确定性观察结果的标准诊断定义较弱,并且更好地捕获了观察到的非确定性或间歇性观察丧失的物理情况。
In this paper, we revisit the fault diagnosis problem of discrete-event systems (DES) under non-deterministic observations. Non-deterministic observation is a general observation model that includes the case of intermittent loss of observations. In this setting, upon the occurrence of an event, the sensor reading may be non-deterministic such that a set of output symbols are all possible. Existing works on fault diagnosis under non-deterministic observations require to consider all possible observation realizations. However, this approach includes the case where some possible outputs are permanently disabled. In this work, we introduce the concept of output fairness by requiring that, for any output symbols, if it has infinite chances to be generated, then it will indeed be generated infinite number of times. We use an assume-guarantee type of linear temporal logic formulas to formally describe this assumption. A new notion called output-fair diagnosability (OF-diagnosability) is proposed. An effective approach is provided for the verification of OF-diagnosability. We show that the proposed notion of OF-diagnosability is weaker than the standard definition of diagnosability under non-deterministic observations, and it better captures the physical scenario of observation non-determinism or intermittent loss of observations.