Vehicle fault diagnosis expert system

Zhanjun Niu; Qingshan Lv; Changting Li

doi:10.1117/12.3026168

15 March 2024 Vehicle fault diagnosis expert system

Zhanjun Niu, Qingshan Lv, Changting Li

Proceedings Volume 13075, Second International Conference on Physics, Photonics, and Optical Engineering (ICPPOE 2023); 130750X (2024) https://doi.org/10.1117/12.3026168
Event: Second International Conference on Physics, Photonics, and Optical Engineering (ICPPOE 2023), 2023, Kunming, China

Abstract

A fault diagnosis expert system has been designed based on heavy-duty vehicles as the analysis object. This system is an intelligent fault diagnosis system designed based on vehicle maintenance information and expert knowledge, combined with the basic requirements of the expert system. Based on the regularity of fault occurrence and the particularity of fault phenomena, a combination of framework representation and production representation was used to represent knowledge. The process of establishing a fault diagnosis knowledge base and the implementation method of uncertain inference mechanism were analyzed. A fault diagnosis expert system for heavy-duty vehicles was designed using the CLIPS expert system development platform.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhanjun Niu, Qingshan Lv, and Changting Li "Vehicle fault diagnosis expert system", Proc. SPIE 13075, Second International Conference on Physics, Photonics, and Optical Engineering (ICPPOE 2023), 130750X (15 March 2024); https://doi.org/10.1117/12.3026168

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