Analytical redundancy can be realized by parameter estimation. If historical data are reliable and available at the moment, the parameter estimation problem can be solved as a matrix completion problem. An improved matrix completion algorithm is proposed in the paper, which is based on GROUSE (Grassmannian Rank-One Update Subspace Estimation) algorithm and is modified by adding weight factors to the optimization function. In the improved algorithm, a time dimensional subspace is used to analyze the whole data space and is updated by historical data of the recent few periods. Simulations using actual engine data proves that the approach is feasible for aeroengine analytical redundancy construction.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Matrix Completion Based Aeroengine Analytical Redundancy


    Contributors:
    Lu, Zepeng (author) / Cheng, Nong (author) / Li, Qing (author)


    Publication date :

    2018-08-01


    Size :

    612901 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Aeroengine and process of operating an aeroengine

    CARLOS HANNOVER GALINDO-LOPEZ | European Patent Office | 2025

    Free access

    Aeroengine mounting device

    YE BIN / LUO JINLIANG / PENG ZHIJUN et al. | European Patent Office | 2016

    Free access

    Aeroengine installation vehicle

    ZHANG HAIFENG / HAO HAO / ZHANG DEMING et al. | European Patent Office | 2015

    Free access

    Introduction to Aeroengine Controls

    Wang, Jiqiang / Zhang, Weicun / Hu, Zhongzhi | Springer Verlag | 2021


    Aeroengine neural network control

    Tao, T. / Zhang, J. | British Library Online Contents | 1997