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Using Place and Transition Fault Net Models for Sequential Diagnosis Time Assessment in Discrete Event Systems

机译:使用位置和过渡故障网模型进行离散事件系统的顺序诊断时间评估

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The diagnosis-time assessment is studied below in the case of discrete event systems. It is assumed that any such system is described by a live, bounded, and reversible place-transition Petri net. There are assumed some de-terministically given delays associated with the transitions of N and hence N is assumed to be deterministic timed. For this purpose two different type of (single) fault models are used, i.e. place fault and transition fault models and the corresponding diagnosis process is assumed to be sequential. Hence, the diagnosis-time assessment is realised by computing the absolute value of the time difference between the minimum cycle time of N and the worst-case fault-isolation time according to the obtained diagnostic tree.
机译:对于离散事件系统,下面将对诊断时间评估进行研究。假定任何这样的系统都是通过实时,有界和可逆的位置转换Petri网描述的。假定与N的跃迁相关联的确定性给定延迟,因此,假定N为确定性定时。为此目的,使用两种不同类型的(单个)故障模型,即放置故障模型和过渡故障模型,并且假定相应的诊断过程是顺序的。因此,根据获得的诊断树,通过计算N的最小循环时间与最坏情况的故障隔离时间之间的时间差的绝对值,可以实现诊断时间评估。

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