Auxiliary power unit is one of the indispensable systems for civil aviation aircraft but the traditional planned maintenance cannot meet the actual needs of airlines. In this work, the key performance parameters of the auxiliary power unit are selected by using recursive feature elimination method. With the selected parameters, the remaining useful flight cycle of the auxiliary power unit is predicted by applying particle filter techniques. Some improved algorithms such as Gaussian particle filter and auxiliary particle filter are also compared. The experimental results demonstrate that the particle filter-based method has high prediction accuracy and engineering application value.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Remaining useful life prediction for auxiliary power unit based on particle filter


    Contributors:
    Guo, Jiachen (author) / Cai, Jing (author) / Jiang, Heng (author) / Li, Xin (author)


    Publication date :

    2020-12-01


    Size :

    7 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    An adaptive-order particle filter for remaining useful life prediction of aviation piston pumps

    LI, Tongyang / WANG, Shaoping / SHI, Jian et al. | Elsevier | 2018

    Free access

    An adaptive-order particle filter for remaining useful life prediction of aviation piston pumps

    LI, Tongyang / WANG, Shaoping / SHI, Jian et al. | British Library Online Contents | 2018


    Prediction of Mining Railcar Remaining Useful Life

    Rahimdel, Mohammad Javad / Ghodrati, Behzad / Vahed, Amir Taghizadeh | Springer Verlag | 2019


    Prediction of Remaining Useful Life for Aero-Engines

    B, Rounak / J, Manikandan | IEEE | 2021