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AI Based Diagnostic and Decision Support Systems for the Trucking Industry
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English
Abstract
A new Artificial Intelligence (AI) “Expert System” software technology has been developed which shows real promise as the core platform of the Decision Support System for Truck Repair. The “Expert system” consists of a Model Based reasoning mechanism, and a Rule Based shell along with an on-line documentation and graphics capability. This technology combines the development speed and accuracy of Model Based technology, the precision of Rule Based expert systems along with the ease-of-use associated with a “Hypertext” information system.
Citation
Wing, R. and Uttamsingh, R., "AI Based Diagnostic and Decision Support Systems for the Trucking Industry," SAE Technical Paper 902218, 1990, https://doi.org/10.4271/902218.Also In
Commercial Vehicle Electronics, Diagnostics and Service Systems
Number: SP-0844; Published: 1990-10-01
Number: SP-0844; Published: 1990-10-01
References
- “Service and Support of Electronic Products in the Trucking Industry” Austin J. William Cummins Electronics Company Weimer Robert J. Cummins Engine Company Future Transportation Technology Conference Seattle Washington August 1987 SAE- 871579
- “Future Vehicle Electronics” Nicholson William Freightliner Corporation Truck and Bus Meeting Charlotte, NC November 1989
- “A Universal Diagnostic Platform for the Heavy Truck industry - Background and Overview” White Jon Microflex, Inc. of NC Truck and Bus Meeting Charlotte, NC November 1989 SAE- 892512
- “Recommended Practices Relative to Vehicle Diagnostics for the Heavy Truck Industry” Caterpillar Engine Co. Cummins Engine Co. Freightliner Corp. Microflex, Inc. of NC Ryder Truck Rental, Inc. Press Conference, SAE Truck and Bus Conference Indianapolis, Indiana November 8 1988