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

fYear

2008

fDate

11-13 June 2008

Firstpage

2064

Lastpage

2069

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;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 2008

Conference_Location

Seattle, WA

ISSN

0743-1619

Print_ISBN

978-1-4244-2078-0

Electronic_ISBN

0743-1619

Type

conf

DOI

10.1109/ACC.2008.4586797

Filename

4586797