Improvement of temporal modeling concerning recurrent detection/diagnosis functions

The present paper carries on similar research outcomes of the authors carried out in the area of the recurrent modeling of the monitoring functions on Petri Nets. It discusses a new approach in modeling the recurrent detection/diagnostic functions. Assumed known laws of describing the evolution of the stated of successive degradation of the monitored system. Hierarchical levels corresponding to the external events responsible with these changes are defined through the use of the logical model, able to describe the changes that appear in the degradation states of the monitored system. Hence, these events are synchronized with the model thus resulted; they are in a causal relationship with some of its joints. The article proposes a dedicated hierarchical structure, capable of setting a sequence of temporal appearance of the flaws, corresponding to certain waiting intervals of occurrence the associated events. With every hierarchical level, the temporal window is enhanced (relaxed). The proposed structure implements the recurrent detection function because every hierarchical level uses the result of the detection function from the previous level. In order to achieve that, the hierarchical levels are vertically intermediated through LIFO and OOPN (Object Oriented Petri Nets) information subsystems.