• DocumentCode
    1887884
  • Title

    Fault Diagnosis Based on Petri Model in Machining Process

  • Author

    Miaofen, Zhu ; Guojin, Chen ; Yaka, Wang

  • Author_Institution
    Dept. of Manage. Eng., Hangzhou Dianzi Univ.
  • fYear
    2006
  • fDate
    24-27 April 2006
  • Firstpage
    2077
  • Lastpage
    2080
  • Abstract
    Applying the method based on Petri net can join knowledge expression and diagnosis reasoning together. Firstly, the symptomatic places reflecting failures were established for the original places and the fault places causing failures were established for the objective places. Then, by prior searching in depth and maximal searching in reliability, the optimum routes from the original place sets to the objective place sets were set up. In reasoning based on Petri net, by a series of matrix calculation for the status vector recurrence, the quick diagnosing results could be got. The conclusion inferred by the Petri net reasoning was consistent with the facts. It suits for the status monitoring and fault diagnosing of modern machining processes and systems
  • Keywords
    Petri nets; computerised monitoring; fault diagnosis; intelligent manufacturing systems; machining; Petri model; Petri net; diagnosis reasoning; distributive intelligent monitoring systemic structure; fault diagnosis; intelligent Web monitoring system; knowledge expression; machining process; matrix calculation; maximal searching; prior searching; status monitoring; status vector recurrence; Artificial intelligence; Automation; Cities and towns; Computerized monitoring; Condition monitoring; Distributed computing; Fault diagnosis; Intelligent manufacturing systems; Machining; Mathematical model; Petri net; fault Diagnosis; machining process;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. Proceedings of the IEEE
  • Conference_Location
    Sorrento
  • ISSN
    1091-5281
  • Print_ISBN
    0-7803-9359-7
  • Electronic_ISBN
    1091-5281
  • Type

    conf

  • DOI
    10.1109/IMTC.2006.328460
  • Filename
    4124723