The avionics is an important component of the avionics system , and its condition is closely related to the health state of the aircraft. However, nowadays the complexity of avionics systems makes it more difficult to fault diagnose the electronic equipment in avionics systems. In order to solve this problem, this paper discusses the research of common faults in avionics, outlines the difficulties of fault diagnosis of avionics, summarizes the development and research status of fault diagnosis of avionics, and introduces the key technologies of fault diagnosis of avionics from three perspectives: data preprocessing, anomaly detection, and fault location. This paper examines the issues surrounding fault diagnosis of avionics and look ahead the future development direction in this field.


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    Titel :

    Key technology and research progress in avionics fault diagnosis


    Beteiligte:
    Yao, Xinwei (Herausgeber:in) / Kong, Xiangjie (Herausgeber:in) / Wu, Ziyu (Autor:in) / Niu, Wei (Autor:in) / Zhao, Yuhong (Autor:in) / Deng, Ao (Autor:in)

    Kongress:

    Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023) ; 2023 ; Hangzhou, China


    Erschienen in:

    Proc. SPIE ; 13176 ; 1317639


    Erscheinungsdatum :

    22.05.2024





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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