On-board Diagnosis of Car Catalytic Converters Using Statistical Pattern Recognition

Armand Boatas and Bernard Dubuisson and M. A. Dillies-Peltier

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.


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