INTERMITTENT FAULT DIAGNOSIS: A DIAGNOSER DERIVED FROM THE NORMAL BEHAVIOR

This paper deals with an approach for 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 automata 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 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.