ON-BOARD DIAGNOSIS SYSTEM FOR INTERMITTENT FAULT: APPLICATION IN AUTOMOTIVE INDUSTRY

This paper deals with the diagnosis of behavior functions in the embedded network systems and especially in the automotive systems. It is focused on the localization of intermittent faults in discrete events systems with partial observability. The proposed methods are based on a discrete events model representing the normal functioning of the observable behavior of the monitored system. This model based on Petri nets formalism is built from the design data. The detection step consists of a comparison between the flow of observable events emitted by the monitored system and the flow foreseen by the model. A localization mechanism, based on the diagnoser approach, points out the set of events potentially responsible for the faults. These two mechanisms are designed in order to operate on board, in real time. An example from the automotive domain is presented.