• DocumentCode
    2468800
  • Title

    Research on the health status monitoring model and monitoring system of destruction equipment for high-risk goods based on the fuzzy combination mode

  • Author

    Zhang, Jing ; Li, Yanliang ; Jing Zhang

  • Author_Institution
    Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The high-risk and complexity of highly dangerous goods destruction need urgently a deep analysis and judgment to the variety health status of destroyed equipment in operation to ensure the operations safety,so the health status monitoring model of destruction equipment was constructed. In this paper it determined the operating status monitoring parameters and equipment unit parameters by reliability and pre-risk analysis, studied the health trends judgment methods of operating status parameters by statistical process control (SPC) and equipment PLC combination, the health status analysis methods of the operating state parameters subsystem related equipment based on the Profust. Finally it composed both analysis methods to judge the health status of destroyed equipment. While it builds the health status monitoring network of destruction equipment, the hardware and software part of actual destruction system. The model provides a new way for the establishment of high-risk operations equipment health status monitoring systems based on PHM.
  • Keywords
    condition monitoring; fuzzy set theory; production equipment; programmable controllers; reliability; risk management; statistical process control; PHM; Profust; dangerous goods destruction; destruction equipment; equipment PLC combination; equipment health status monitoring systems; fuzzy combination mode; health status monitoring model; health status monitoring network; health trends judgment method; high-risk goods; operating state parameters subsystem related equipment; operating status monitoring parameter; operating status parameter; operations safety; prerisk analysis; reliability; statistical process control; PHM; dangerous goods destruction equipment (DGDE); monitor mode; preliminary hazard analysis(PHA); profust; statistical process control (SPC);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Prognostics and System Health Management (PHM), 2012 IEEE Conference on
  • Conference_Location
    Beijing
  • ISSN
    2166-563X
  • Print_ISBN
    978-1-4577-1909-7
  • Electronic_ISBN
    2166-563X
  • Type

    conf

  • DOI
    10.1109/PHM.2012.6228825
  • Filename
    6228825