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.