The problem of assessing the technical status of gas turbine engines is considered. The problem related to the use of methods based on data, expert knowledge and mathematical models for the analysis of degradation processes in engine parts is discussed. An approach based on the use of machine learning technology is proposed.


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    Titel :

    Expert System for Assessing the Technical Status of Gas Turbine Engines Using the Knowledge Base of Temporal Precedents


    Weitere Titelangaben:

    Russ. Aeronaut.


    Beteiligte:
    Efanov, V. N. (Autor:in) / Ivanova, N. S. (Autor:in)

    Erschienen in:

    Russian Aeronautics ; 66 , 1 ; 64-71


    Erscheinungsdatum :

    2023-01-01


    Format / Umfang :

    8 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






    Expert Knowledge base SPC Quality System

    Ngo, B. / Fern, A. G. / Krabbe, P. M. et al. | British Library Conference Proceedings | 1998


    INSTALLATION STATUS OF GAS TURBINE ENGINES

    R.H.HARRISON / R.L.STODDARD | SAE Technical Papers | 1959


    Installation status of gas turbine engines

    Stoddard, R.L. / Harrison, R.H. | Engineering Index Backfile | 1959