Development Of Knowledge Systems For Trouble Shooting Complex Production Machinery

Richard L Sanford; Thomas Novak; James R. Meigs

doi:10.1117/12.940639

11 May 1987 Development Of Knowledge Systems For Trouble Shooting Complex Production Machinery

Richard L Sanford, Thomas Novak, James R. Meigs

Proceedings Volume 0786, Applications of Artificial Intelligence V; (1987) https://doi.org/10.1117/12.940639
Event: 1987 Technical Symposium Southeast on Optics, Electro-Optics, and Sensors, 1987, Orlando, FL, United States

Abstract

This paper discusses the use of knowledge base system software for microcomputers to aid repairmen in diagnosing electrical failures in complex mining machinery. The knowledge base is constructed to allow the user to input initial symptoms of the failed machine, and the most probable cause of failure is traced through the knowledge base, with the software requesting additional information such as voltage or resistance measurements as needed. Although the case study presented is for an underground mining machine, results have application to any industry using complex machinery. Two commercial expert-system development tools (M1 TM and Insight 2+TM) and an Al language (Turbo PrologTM) are discussed with emphasis on ease of application and suitability for this study.

Citation Download Citation

Richard L Sanford, Thomas Novak, and James R. Meigs "Development Of Knowledge Systems For Trouble Shooting Complex Production Machinery", Proc. SPIE 0786, Applications of Artificial Intelligence V, (11 May 1987); https://doi.org/10.1117/12.940639

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