Prediction of Engine Operational Parameters for On Board Diagnostics Using a Free Model Technology Università di Perugia

Format:

Conference/Event

Author/Creator:

Grimaldi, Carlo N., author.

Conference Name:

International Congress & Exposition (1999-03-01 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 1999

Summary:

In this paper, a further step along a research line concerning the set up of a Fault Diagnosis system for OBD-II purpose is presented. The suitability of Artificial Neural Networks for the use as engine simulation modules in the framework of a software redundancy approach has been analyzed. Experimental tests were performed, by acquiring four main engine operational parameters. Using this knowledge base, the performance of a wide variety of different Net Types was analyzed and discussed. Peculiar aspects of the possible industrial applications of this methodology are also deeply examined

Notes:

Vendor supplied data

Publisher Number:

1999-01-1224

Access Restriction:

Restricted for use by site license