Title :
A probability density metric for automotive three-way catalyst diagnostics
Author :
Kirschman, Jill S. ; Frey, Jesse C. ; Muske, Kenneth R. ; Jones, James C Peyton ; Makki, Imad H. ; Uhrich, Michael J.
Author_Institution :
Center for Nonlinear Dynamics & Control, Villanova Univ., Villanova, PA
Abstract :
A statistical classification technique based on the fraction of time the catalyst gain is very close to zero is used as a diagnostic metric for on-board monitoring of an automotive catalyst. Preliminary results indicate that it is possible to perform very accurate discrimination between catalyst operation, even near the on-board diagnostic detection threshold, using this technique. Experimental vehicle tests with each of the different catalysts are used as the basis for comparison.
Keywords :
automotive components; catalysis; condition monitoring; fault diagnosis; pattern classification; pollution control; probability; automotive emission control system; automotive three-way catalyst diagnostic metric; onboard diagnostic detection threshold; onboard monitoring; probability density metric; statistical classification technique; vehicle test; Automotive engineering; Control systems; Fuel storage; Gas detectors; Hydrogen; Mechanical power transmission; Monitoring; Research and development; Testing; Vehicle dynamics;
Conference_Titel :
American Control Conference, 2008
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-2078-0
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2008.4586797
