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Online monitoring for diagnosis of violations of constraints in Petri net models

机译:在线监测,禁止培养禁止培训禁止禁止限制

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Fault diagnosis in partially-observed discrete-event systems requires modelling faults as unobservable events within the system. Representing faults as events is not always realistic. For example, some classes of fault are in form of violations of constraints such as service-level agreement (SLA) and Quality of Service (QoS). To model such faults, we need to modify the plant model which is not always acceptable. Firstly, this may make the models large. Secondly, adding extra transitions is not always preferable from engineers’ prospective as every modification of the constraint will modify the model of the plant. This paper applies integer Fourier-Motzkin elimination (IFME) approach to address this issue. Since the constraints and their violations can be written as inequalities, we show that starting from a Petri net two sets of inequalities (diagnoser) are obtained. These sets are used to judge whether an observed sequence may satisfy (violate) these inequalities. The correctness of the proposed approach has also been proved.
机译:部分观察到的离散事件系统中的故障诊断需要将故障建模为系统内的未接受的事件。作为事件的故障并不总是现实的。例如,某些类别的故障是违规的制约因素的形式,例如服务级别协议(SLA)和服务质量(QoS)。要模拟此类故障,我们需要修改不始终可以接受的工厂模型。首先,这可能会使模型变大。其次,从工程师的预期中添加额外的转换并不总是优选的,因为约束的每个修改都将修改工厂的模型。本文应用整数傅里叶 - Motzkin消除(IFME)方法来解决此问题。由于制约因素及其违规行为可以写成不平等,因此我们表明从Petri网开始,获得两组不等式(诊断)。这些集合用于判断观察到的序列是否可以满足(违反)这些不等式。也证明了拟议方法的正确性。

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