On-board Diagnosis of Car Catalytic Converters Using Statistical PatternRecognition

This paper introduces statistical pattern recognition techniques, applied to the monitoring of dynamic systems. Usually, distance rejection options enable to deal with incomplete knowledge about classes. A new technique, which extends the possibilities of distance rejection, is presented in order to detect partially unknown classes. These techniques have been applied in this paper to a very important legislative problem : the monitoring of car catalytic converters.