This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Statistical Pattern Recognition for TWC Diagnosis
Technical Paper
2005-01-1092
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
Ideas from statistical pattern recognition are applied to the problem of diagnosing degraded automotive three-way catalysts using oxygen sensors. A brief overview of statistical pattern recognition is given. A novel method of processing the oxygen sensor signals converts the time signals into ensembles of vectors. Using the tools of pattern recognition, the ensembles are described statistically, and classifiers are derived from the statistical descriptions. The resulting classifiers are tested against four different aging categories, and the performance is quantified via the operating characteristic. Techniques to achieve arbitrary levels of performance are discussed.
Recommended Content
Authors
Citation
Kostek, T. and Franchek, M., "Statistical Pattern Recognition for TWC Diagnosis," SAE Technical Paper 2005-01-1092, 2005, https://doi.org/10.4271/2005-01-1092.Also In
References
- Hepburn Jeffery S. Gandhi Haren S. The relationship between catalyst hydrocarbon conversion efficiency and oxygen storage capacity Technical Report 920831 SAE 1992
- Maunula T. Vakkilainen A. Lievonen A. Torkkell K. Niskanen K. Harkonen M. Low emission three-way catalyst and OSC material development for OBD diagnostics Technical Report 1999-01-3625 SAE 1999
- Kumar Sanath V. Heck Ronald M. A new approach to OBDII monitoring of catalyst performance using dual oxygen sensors Technical Report 2000-01-0863 SAE 2000
- Sideris Marios Methods for Monitoring and Diagnosing the Efficiency of Catalytic Converters Elsevier 1998
- Papoulis Athanasios Probability, Random Variables, and Stochastic Processes 3rd Edition WCB McGraw-Hill 1991
- Fukunaga Keinosuke Introduction to Statistical Pattern Recognition Academic Press 1990
- Srinath M.D. Rajasekaran P.K. Viswanathan R. Introduction to Statistical Signal Processing with Applications Prentice-Hall 1996
- Hastie Trevor Tibshirani Robert Friedman Jerome The Elements of Statistical Learning: Data Mining, Inference, and Prediction Springer 2001
- Friedman Jerome H. Regularized discriminant analysis Journal of the American Statistical Association 84 165 175 March 1989