• DocumentCode
    2319439
  • Title

    Condition monitoring and plenary diagnostics strategy based on event driven threads

  • Author

    Xi, Wenjun ; Feng, Yuguang ; Zhou, Yu ; Xu, Bo

  • Author_Institution
    Dept. of Enginery Sci. & Technol., NAAU, Yantai
  • fYear
    2008
  • fDate
    21-24 April 2008
  • Firstpage
    576
  • Lastpage
    578
  • Abstract
    Condition monitoring and fault diagnosis is the groundwork of condition-based maintenance, and much research has been done about diagnostic algorithm and monitoring manufactures, but less research about diagnostics strategy and management. Plenary diagnostics based on event driven threads of data propagated through successive diagnostic levels is an improving attempt about it. In this approach, abnormities are firstly detected or isolated in operational level. Then the anomalous event data is transmitted from low diagnostic level to higher levels, collected and centrally analyzed and finally fed back as diagnostic updates to improve diagnosis modules. This paper describes the diagnostic data flow and the management strategy of plenary diagnostics, and the difference between which and conventional diagnostics strategy. Finally, an example about power equipments fault diagnosis is given.
  • Keywords
    condition monitoring; fault diagnosis; power apparatus; condition monitoring; diagnostic data flow; diagnostics strategy; event driven threads; management strategy; plenary diagnostics; power equipments fault diagnosis; Artificial intelligence; Condition monitoring; Fault detection; Fault diagnosis; Isolation technology; Manufacturing; Power system management; Preventive maintenance; Signal processing algorithms; Yarn; abnormity; condition monitoring; event driven threads; fault; field level; intermediate level; logistics data system (LDS); operational level; plenary diagnostics; power equipments;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Condition Monitoring and Diagnosis, 2008. CMD 2008. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1621-9
  • Electronic_ISBN
    978-1-4244-1622-6
  • Type

    conf

  • DOI
    10.1109/CMD.2008.4580353
  • Filename
    4580353