This paper endeavors to bring out the prediction techniques for maintenance of bilge pumps onboard ships and marine platforms. This work is oriented toward conversion of Planned Preventive Maintenance techniques to Condition based Preventive Maintenance (CBPM) for Bilge Pumps, by studying its present maintenance schedule, past defect history, etc. and creating a decision support system by applying the various Artificial Intelligence tools and techniques. The main motive is to reduce the present turnaround time required for the time-based maintenance of the pumps by incorporating CBPM technique and undertaking maintenance only when needed as the Decision support system predicts. Further, this will also ensure a high level of availability of the Marine platforms as well as improve the overall equipment life.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Prediction Techniques for Maintenance of Marine Bilge Pumps Onboard Ships


    Additional title:

    Advs in Intelligent Syst., Computing




    Publication date :

    2021-10-19


    Size :

    14 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





    Pickup pliers for marine bilge

    ZHONG XINQUAN / YANG JUNPING / HUANG YUCHANG et al. | European Patent Office | 2020

    Free access

    BILGE TRANSFERRING APPARATUS FOR MARINE STRUCTURE

    European Patent Office | 2015

    Free access

    BILGE EMISSION APPARATUS AND BILGE EMISSION METHOD

    KIM JONG YUL | European Patent Office | 2015

    Free access

    DEVICE FOR OIL FILTERING IN BILGE WATER OF SMALL SHIPS

    European Patent Office | 2022

    Free access