• DocumentCode
    3309907
  • Title

    Ships fleet-wide management and naval mission prognostics: Lessons learned and new issues

  • Author

    Leger, Jean-Baptiste ; Iung, Benoit

  • Author_Institution
    PREDICT, Vandoeuvre Lès Nancy, France
  • fYear
    2012
  • fDate
    18-21 June 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Complex systems such as ships are composed of multiple heterogeneous subsystems and equipments interconnected to accomplish various missions. In civilian and defense naval domains, ships are usually operated as a fleet leading to mission readiness and maintenance management issues. PHM (Prognostics and Health Management) plays a key role for controlling the performance level of such systems, at least on the basis of adapted PHM strategies and system developments. Thus, engineering methods are required for developing such fleet-wide PHM systems enable to address monitoring, diagnosis and prognostics for health management of the underlying heterogeneous equipments/components defining the fleet. In relation to this context, the paper highlights some lessons learned from PHM engineering and applications focusing on monitoring, fault detection and mission prognostics in marine domain. Since challenges, involved with developing and implementing proactive fleet-wide management through PHM system, remain several, in a second part, the paper underlines some new issues with regards to PHM´s processes previously addressed.
  • Keywords
    condition monitoring; shipbuilding industry; PHM strategy; PHM system development; fleet-wide management; marine domain; multiple heterogeneous subsystem; naval mission prognostics; prognostics and health management; ships fleet-wide management; Data models; Maintenance engineering; Marine vehicles; Monitoring; Prognostics and health management; Temperature measurement; Trajectory; CBM+ engineering; PHM; fleet-wide management; mission prognostics; proactive maintenance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Prognostics and Health Management (PHM), 2012 IEEE Conference on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    978-1-4673-0356-9
  • Type

    conf

  • DOI
    10.1109/ICPHM.2012.6299531
  • Filename
    6299531