• DocumentCode
    1769195
  • Title

    Networked live lab for marine machinery

  • Author

    Jiangbin Zhao ; Xinping Yan ; Chenxing Sheng

  • Author_Institution
    Sch. of Energy & Power Eng., Wuhan Univ. of Technol., Wuhan, China
  • fYear
    2014
  • fDate
    24-27 Aug. 2014
  • Firstpage
    364
  • Lastpage
    367
  • Abstract
    An advanced remote monitoring and fleet management system is a technology platform which collects data continuously from remote voyaged ships. All operation data about ship and its on-board machinery can be upload to this land-based system. Data collected can be categorized into several groups, such as GPS related ship movement, its position, direction and speed; machinery operation data as engine cylinder temperature and pressure, rotation speed and exhaust temperature; Lubricating oil on-line monitoring data, as its viscosity, moisture, particle count, dielectric permittivity. And many others. These remote ship field operation and condition data are lively uni-casted to fleet monitoring server system in real time, and then be distributed to the logged users. As data is critical for scientific research, so we propose a networked live lab system, which providing a well-defined data access interface, to distribute live data stream and its operation history to worldwide researchers, 365*24, day and night, to conduct research in the condition monitoring, safety and reliability, and design optimization fields.
  • Keywords
    condition monitoring; remote sensing; ships; condition data; fleet management system; logged users; marine machinery; networked live lab; on-board machinery; remote monitoring; remote ship field operation; Distributed databases; History; Machinery; Marine vehicles; Real-time systems; Remote monitoring; fleet management; live data; live lab; marine machinery; remote monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Prognostics and System Health Management Conference (PHM-2014 Hunan), 2014
  • Conference_Location
    Zhangiiaijie
  • Print_ISBN
    978-1-4799-7957-8
  • Type

    conf

  • DOI
    10.1109/PHM.2014.6988195
  • Filename
    6988195