The paper suggests an approach to joint trend analysis and trend monitoring of time series formed by the parameters of gas-turbine engines technical conditions in their long-term operation. The proposed approach is based on forming the diagnostic model in the form of a polynomial approximation of the throttle characteristics for the reference motor and selecting the deviations from this model. For the obtained multidimensional time series of deviations from the diagnostic model, the known methods of trend analysis and trend monitoring are consistently applied. The proposed approach makes it possible to increase the reliability of statistical conclusions about the engines technical conditions.


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    Title :

    INCREASING THE EFFICIENCY OF METHODS OF TREND ANALYSIS AND MONITORING AT GAS-TURBINE ENGINES TECHNICAL CONDITIONS ANALYSIS




    Publication date :

    2017




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




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