In recent years, Autonomous Underwater Vehicles (AUVs) have rapidly developed as vital tools for marine resource exploration. Ensuring the efficient and reliable performance of AUVs is crucial, especially when subsystems fail or hazardous conditions arise, as this affects their ability to complete missions. This paper focuses on the reliability of AUV’s complex systems and proposes a weighted fuzzy fault tree reasoning mechanism, which can identify the optimal course of action when the AUV is in a critical state or a subsystem failure prevents the completion of its mission. By thoroughly analyzing the AUV’s current overall status, the mechanism determines the best decision-making strategy to maximize the chances of safely recovering the AUV.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Research on Reliability of Underwater Vehicle Based on Weighted Fuzzy Fault Tree


    Beteiligte:
    Zhang, Haoran (Autor:in)


    Erscheinungsdatum :

    16.05.2025


    Format / Umfang :

    2527970 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Reliability analysis of an autonomous underwater vehicle using fault tree

    Xu, Hongli / Li, Guannan / Liu, Jian | IEEE | 2013


    Fuzzy Grey Fault Tree Analysis on Wagon Bogie Reliability

    Li, Yonghua / Liu, H. T. / Gao, Yuehua et al. | Springer Verlag | 2012


    Fuzzy Grey Fault Tree Analysis on Wagon Bogie Reliability

    Li, Y. / Liu, H.T. / Gao, Y. et al. | British Library Conference Proceedings | 2012


    Reliability Analysis of Metro Vehicles Bogie System Based on Fuzzy Fault Tree

    Zhu, Lei / Zhang, Zhenyu / Qin, Yong et al. | British Library Conference Proceedings | 2016


    Reliability Analysis of Metro Vehicles Bogie System Based on Fuzzy Fault Tree

    Zhu, Lei / Zhang, Zhenyu / Qin, Yong et al. | Springer Verlag | 2016