Because of the small sample size and complexity of the tracing data about spacecraft interference fault, it is not possible to perform identification evaluation relative to the large sample. However, it gains a lot of expert experience, on-orbit analysis data as prior information. So a traceability technique of spacecraft interference fault based o Bayesian networks is proposed in this paper. Firstly, analyzing and classifying the phenomena of spacecraft interference fault to determine the source location and interference mode of interference fault. Secondly, the Bayesian network learning algorithm and historical data are used to establish a traceability model for spacecraft interference fault. Then Fuse the available prior information to update the current model. Finally, based on the updated model, the Bayesian network inference method is used to identify the source and mode of disturbance from the measured sample data. It shows that the technology can quickly and effectively track the source of spacecraft interference and provide strong support for the healthy operation and fault diagnosis of spacecraft.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Traceability Technique of Spacecraft Interference Fault Based on Bayesian Networks


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Wu, Meiping (editor) / Niu, Yifeng (editor) / Gu, Mancang (editor) / Cheng, Jin (editor) / Xu, Jingwen (author) / Guo, Xiaohong (author) / Zhang, Yan (author) / Zhai, Min (author) / Zhang, Lu (author)

    Conference:

    International Conference on Autonomous Unmanned Systems ; 2021 ; Changsha, China September 24, 2021 - September 26, 2021



    Publication date :

    2022-03-18


    Size :

    15 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    A Traceability Technique of Spacecraft Interference Fault Based on Bayesian Networks

    Xu, Jingwen / Guo, Xiaohong / Zhang, Yan et al. | TIBKAT | 2022


    A Traceability Technique of Spacecraft Interference Fault Based on Bayesian Networks

    Xu, Jingwen / Guo, Xiaohong / Zhang, Yan et al. | British Library Conference Proceedings | 2022



    Diagnosis Method for Spacecraft Using Dynamic Bayesian Networks

    Kawahara, Y. / Fujimaki, R. / Yairi, T. et al. | British Library Conference Proceedings | 2005


    Spacecraft cluster attitude cooperative control method under interference fault hybrid condition

    QIAO JIANZHONG / LIAO XUELU / ZHU YUKAI et al. | European Patent Office | 2023

    Free access