Highlights A Dynamic Bayesian Network availability model is developed for ship machinery systems. The dynamic availability model accounts for ship maintenance. The proposed model is used to evaluate the machinery systems safety of conventional ship. The machinery systems safety of Maritime Autonomous Surface Ships (MASS) is discussed. A framework is presented to develop a redundancy and planned maintenance strategy for MASS.

    Abstract With their complex structure, multiple failure modes and lack of maintenance crew, the safety problem of Maritime Autonomous Surface Ships’ (MASS) machinery systems are becoming an important research topic. The present study presents an availability model for ship machinery systems incorporating a maintenance strategy based on Dynamic Bayesian Networks (DBN). First, the availability of conventional ship machinery systems is evaluated and used as a benchmark based on the configuration and planned maintenance strategy. Secondly, the availability of MASS machinery systems is compared to the benchmark, before the introduction of any changes to the ship’s configuration and planned maintenance strategy. Finally, the availability improvement strategies, including redundant designs and planned maintenance strategies at port, are proposed based on sensitivity analysis and planned maintenance cost minimization. To exemplify the model's application, a case study of a cooling water system is explored. Based on a sensitivity analysis using the model, it is possible to decide which components need to be redundant. Different redundancy designs and corresponding planned maintenance strategies can be adopted to meet the availability demand. It is also shown that redundancy and enhanced detection capabilities reduce much of the planned maintenance cost. This framework can be used in the early design stages to determine whether the MASS machinery systems’ availability is at least equivalent to that of conventional ships, and has certain reference significance for redundant configuration designs and MASS planned maintenance strategy schedule.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Dynamic Bayesian Network model to evaluate the availability of machinery systems in Maritime Autonomous Surface Ships


    Beteiligte:
    Han, Zhepeng (Autor:in) / Zhang, Di (Autor:in) / Fan, Liang (Autor:in) / Zhang, Jinfen (Autor:in) / Zhang, Mingyang (Autor:in)


    Erscheinungsdatum :

    2023-10-11




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Operations of Maritime Autonomous Surface Ships

    Zbigniew Pietrzykowski / Jerzy Hajduk | DOAJ | 2019

    Freier Zugriff


    Operational adaptation of ports with maritime autonomous surface ships

    Kurt, Ismail / Aymelek, Murat | Elsevier | 2023


    Data/Knowledge-Driven Behaviour Analysis for Maritime Autonomous Surface Ships

    Wen, Yuanqiao ;Hahn, Axel ;Valdez Banda, Osiris | TIBKAT | 2023

    Freier Zugriff

    Shore Remote Control Simulation System for Maritime Autonomous Surface Ships

    YOUN IK HYUN / HWANG TAEMIN / HWANG TAEWOONG | Europäisches Patentamt | 2023

    Freier Zugriff