Title :
A new statistical pattern recognition distance rejection model: application to the monitoring of car catalytic converters
Author :
Boatas, A. ; Dubuisson, B. ; Dillies-Peltier, M.A.
Author_Institution :
PSA Peugeot Citroen, Velizy Villacoublay, France
Abstract :
A novel statistical pattern recognition model is proposed in order to solve specific industrial diagnosis problems. The representation of discriminative parameters as a function of the operating point parameters enables accurate operating mode distance rejection. Adapted distance rejection options are presented in order to deal with unknown classes. These methods have been applied to a real world diagnosis problem: the monitoring of car catalytic converters
Keywords :
automobiles; fault diagnosis; learning systems; pattern recognition; statistical analysis; accurate operating mode distance rejection; adapted distance rejection options; car catalytic converter monitoring; discriminative parameters; industrial diagnosis problems; operating point parameters; real world diagnosis problem; statistical pattern recognition distance rejection model; unknown classes; Chromium; Condition monitoring; Costs; Electronic mail; Error probability; Exhaust systems; Learning systems; Pattern recognition; Probability density function;
Conference_Titel :
Systems, Man, and Cybernetics, 2000 IEEE International Conference on
Conference_Location :
Nashville, TN
Print_ISBN :
0-7803-6583-6
DOI :
10.1109/ICSMC.2000.884428
