The article presents issues related to the construction of a prototype of an expert tribological diagnostic system for a turbine engine. The database consists of the results of tests on the chemical composition and concentration of the wear products in the oil sample as well as the physico-chemical parameters of the oil. For all diagnostic parameters, threshold values have been defined to classify the level of wear (normal, elevated, increased and emergency). PC Shell software enabling the combination of a rule representation of knowledge and procedural programming was used to build the expert system. The computer application consists of the main module and sources of knowledge dedicated to the applied research methods. The modular structure allows the development of an expert system by adding new research methods.


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    Title :

    Prototype of the expert tribological diagnostic system of turbine engine


    Contributors:


    Publication date :

    2018




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




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