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Using Artificial Intelligence in Vehicle Diagnostic Systems
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English
Abstract
Expert systems are becoming increasingly important in the application of artificial intelligence technology to real-world problems. An expert system is defined as a computer program which models the decision making process of an expert. This paper explores the concept using expert systems as external diagnostic aids in the repair of motor vehicles. The applicability of expert systems to vehicle diagnosis is first described. The paper then discusses general principles to be considered when building expert systems for vehicle diagnosis. The concept of using expert systems for repairing electronically controlled engine systems is explored in greater detail, and a discussion is provided on a prototype expert system to perform this type of diagnosis. Recommendations are provided on what would be required to develop a commercial expert system based upon the prototype expert system discussed in this paper.
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Authors
Citation
Klausmeier, R., "Using Artificial Intelligence in Vehicle Diagnostic Systems," SAE Technical Paper 861124, 1986, https://doi.org/10.4271/861124.Also In
References
- “Structured Approaches Towards Building Expert Systems,” Amori Richard Dr. East Stroudsburg University May 1986
- “Interim Evaluation of California's Inspection/Maintenance Program,” Klausmeier Robert F. Radian Corporation Austin, Texas
- “Selection of An Appropriate Domain for an Expert System,” Prerau David S. The AI Magazine , 1985
- “Expert Systems: Misconceptions and Reality,” Dankel, Douglas D. II University of Florida SAE Paper 860334
- “Expert Systems in Engineering: Some Issues,” Riese Charles Radian Corporation June 1986
- “Promises and Pitfalls of Knowledge Systems: An Overview,” Joyce John D. Uthurusaray Ramasamy GM Research Laboratory SAE Paper 860333
- “A Second Generation Knowledge Engineering Facility,” Michie Donald Professor Stephen Muggleton Intelligent Terminals Limited Riese Charles Zubrick Steven Radian Corporation December 1984