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

Paper #:
  • 1999-01-1224

Published:
  • 1999-03-01
Citation:
Grimaldi, C. and Mariani, F., "Prediction of Engine Operational Parameters for On Board Diagnostics Using a Free Model Technology," SAE Technical Paper 1999-01-1224, 1999, https://doi.org/10.4271/1999-01-1224.
Pages:
15
Abstract:
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.
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