• DocumentCode
    2829859
  • Title

    Research on Prognostic and Health Monitoring System for Large Complex Equipment

  • Author

    Zhang Jinyu ; Huang Xianxiang ; Cai Wei

  • Author_Institution
    Xi´an Res. Inst. of High-tech, Xi´an, China
  • fYear
    2009
  • fDate
    11-12 July 2009
  • Firstpage
    3
  • Lastpage
    8
  • Abstract
    Prognostic and health monitoring (PHM) is the latest development of large complex equipment management. An extensible distributed prognostic and health monitoring system based on hybrid wireless network techniques was studied and designed in this paper. Firstly,after a careful analysis on the structure and tasks of the equipment, the general PHM framework of large complex equipment is proposed. Then the technical program and network of system are presented. The corresponding on-line monitoring, diagnosis and management system are designed.And the fault prediction technologies are discussed. Finally,the health management and decision system is studied. Anew technical plan that skillfully combines knowledge base,model base, database, their management systems and inference engine is proposed. And the realization is introduced. The results of practical operation show that,because of the using of hybrid wireless network, embedded system, prognostic and intelligent diagnosis, the system maybe flexibly deployed, have powerful capability of monitoring,diagnosis and management, and can implement expeditious and accurate prognostic and fault diagnosis for large complex equipment system.
  • Keywords
    computerised monitoring; condition monitoring; diagnostic expert systems; embedded systems; wireless sensor networks; complex equipment management; embedded system; fault prediction technologies; health monitoring system; hybrid wireless network techniques; intelligent diagnosis; large complex equipment; online diagnosis; online management system; online monitoring; prognostic monitoring system; Databases; Embedded system; Engines; Fault diagnosis; Knowledge management; Monitoring; Power system management; Prognostics and health management; Technology management; Wireless networks; Embedded System; Hybrid Wireless Network; Intelligent Fault Diagnosis; Large Complex Equipment; Online Monitoring; Prognostic and Health Monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems Engineering, 2009. CASE 2009. IITA International Conference on
  • Conference_Location
    Zhangjiajie
  • Print_ISBN
    978-0-7695-3728-3
  • Type

    conf

  • DOI
    10.1109/CASE.2009.39
  • Filename
    5194377