A probability density metric for automotive three-way catalyst diagnostics

Autor:	Imad Hassan Makki, J.S. Kirschman, Jesse Frey, Kenneth R. Muske, James C. Peyton Jones, Michael James Uhrich
Rok vydání:	2008
Předmět:	Vehicle dynamics Engineering Statistical classification Software_GENERAL Basis (linear algebra) business.industry Control system Metric (mathematics) Automotive industry Condition monitoring Probability density function business Automotive engineering
Zdroj:	ACC
DOI:	10.1109/acc.2008.4586797
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::00c050ccaafe0d5913fe427481d06e7a https://doi.org/10.1109/acc.2008.4586797 Zobrazit plný text záznamu