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.


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    Title :

    Vehicle fault diagnosis expert system


    Contributors:
    Liu, Yingkai (editor) / Niu, Zhanjun (author) / Lv, Qingshan (author) / Li, Changting (author)

    Conference:

    Second International Conference on Physics, Photonics, and Optical Engineering (ICPPOE 2023) ; 2023 ; Kunming, China


    Published in:

    Proc. SPIE ; 13075


    Publication date :

    2024-03-15





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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