Towards Design of Prognostics and Health Management Solutions for Maritime Assets

被引:13
|
作者
Niculita, Octavian [1 ]
Nwora, Obinna [1 ]
Skaf, Zakwan [2 ]
机构
[1] Glasgow Caledonian Univ, Glasgow G4 0BA, Lanark, Scotland
[2] Cranfield Univ, Cranfield MK43 0AL, Beds, England
关键词
PHM; maintenance; maritime; vessels; FDI;
D O I
10.1016/j.procir.2016.10.128
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
With increase in competition between OEMs of maritime assets and operators alike, the need to maximize the productivity of an equipment and increase operational efficiency and reliability is increasingly stringent and challenging. Also, with the adoption of availability contracts, maritime OEMs are becoming directly interested in understanding the health of their assets in order to maximize profits and to minimize the risk of a system's failure. The key to address these challenges and needs is performance optimization. For this to be possible it is important to understand that system failure can induce downtime which will increase the total cost of ownership, therefore it is important by all means to minimize unscheduled maintenance. If the state of health or condition of a system, subsystem or component is known, condition-based maintenance can be carried out and system design optimization can be achieved thereby reducing total cost of ownership. With the increasing competition with regards to the maritime industry, it is important that the state of health of a component/sub-system/system/asset is known before a vessel embarks on a mission. Any breakdown or malfunction in any part of any system or subsystem on board vessel during the operation offshore will lead to large economic losses and sometimes cause accidents. For example, damages to the fuel oil system of vessel's main engine can result in huge downtime as a result of the vessel not being in operation. This paper presents a prognostic and health management (PHM) development process applied on a fuel oil system powering diesel engines typically used in various cruise and fishing vessels, dredgers, pipe laying vessels and large oil tankers. This process will hopefully enable future PHM solutions for maritime assets to be designed in a more formal and systematic way. (C) 2016 The Authors. Published by Elsevier B.V.
引用
收藏
页码:122 / 132
页数:11
相关论文
共 50 条
  • [1] COMMUNICATIONS SOLUTIONS FOR THE PROGNOSTICS & HEALTH MANAGEMENT ARCHITECTURE
    Xu, Ethan
    Weber, Tom
    Buibish, Anne-Marie
    Lewis, James L.
    Hughes, Tim
    Schofield, Guy
    2008 IEEE MILITARY COMMUNICATIONS CONFERENCE: MILCOM 2008, VOLS 1-7, 2008, : 649 - 657
  • [2] Digital twin-driven prognostics and health management for industrial assets
    Xiao, Bin
    Zhong, Jingshu
    Bao, Xiangyu
    Chen, Liang
    Bao, Jinsong
    Zheng, Yu
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [3] Prognostics and Health Management of Industrial Assets: Current Progress and Road Ahead
    Biggio, Luca
    Kastanis, Iason
    FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2020, 3
  • [4] A review of maritime equipment prognostics health management from a classification society perspective
    Liang, Qin
    Knutsen, Knut Erik
    Vanem, Erik
    Aesoy, Vilmar
    Zhang, Houxiang
    OCEAN ENGINEERING, 2024, 301
  • [5] XRepo - Towards an information system for prognostics and health management analysis
    Ardila, Alfonso
    Martinez, Felipe
    Garces, Kelly
    Barbieri, Giacomo
    Sanchez-Londono, David
    Caielli, Andrea
    Cattaneo, Laura
    Fumagalli, Luca
    INTERNATIONAL CONFERENCE ON INDUSTRY 4.0 AND SMART MANUFACTURING (ISM 2019), 2020, 42 : 146 - 153
  • [6] The Design of the Prognostics and Health Management System for Special Vehicle
    Gao, Jian
    Shi, Hui
    Fang, Hongzheng
    Luo, Kai
    Liu, Shou
    2016 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-CHENGDU), 2016,
  • [7] Selection and Validation of Health Indicators in Prognostics and Health Management System Design
    Lamoureux, Benjamin
    Mechbal, Nazih
    Masse, Jean-Remi
    2013 2ND INTERNATIONAL CONFERENCE ON CONTROL AND FAULT-TOLERANT SYSTEMS (SYSTOL), 2013, : 239 - 244
  • [8] TOWARDS A DIGITAL TWIN OF A ROBOT WORKCELL TO SUPPORT PROGNOSTICS AND HEALTH MANAGEMENT
    Kibira, Deogratias
    Weiss, Brian A.
    2022 WINTER SIMULATION CONFERENCE (WSC), 2022, : 2968 - 2979
  • [9] Design of prognostics and health management for marine main propulsion system
    Ma, Jian
    Lü, Chen
    Tao, Laifa
    Qiu, Bohua
    Huang, Yalin
    Nanjing Hangkong Hangtian Daxue Xuebao/Journal of Nanjing University of Aeronautics and Astronautics, 2011, 43 (SUPPL.1): : 119 - 124
  • [10] An architecture design method for the Vessel Prognostics and Health Management domain
    Liu Zhao
    Nie Kunming
    PROCEEDINGS OF 2012 2ND INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT 2012), 2012, : 1299 - 1304