Prediction of Engine Operational Parameters for On Board Diagnostics Using a Free Model Technology 1999-01-1224
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.
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. Download Citation
Author(s):
Carlo N. Grimaldi, Francesco Mariani
Affiliated:
Università di Perugia
Pages: 15
Event:
International Congress & Exposition
ISSN:
0148-7191
e-ISSN:
2688-3627
Also in:
On- and Off-Board Diagnostics-PT-81, SAE 1999 Transactions - Journal of Engines-V108-3
Related Topics:
On-board diagnostics (OBD)
Neural networks
Computer software and hardware
Research and development
Simulation and modeling
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