• DocumentCode
    2392552
  • Title

    Mechatronic modules diagnosis by use of fuzzy sets

  • Author

    Nikitin, Yury ; Abramov, Ivan

  • Author_Institution
    Mechatron. Syst. Dept., Izhevsk State Tech. Univ., Izhevsk, Russia
  • fYear
    2011
  • fDate
    1-3 June 2011
  • Firstpage
    109
  • Lastpage
    111
  • Abstract
    One of the most important conditions of the effective automated production functioning is reliable operation. Modern process equipment offers mechatronic systems consisting of mechatronic modules. One of the possible ways of improving the process equipment reliability is the use of diagnostics. For making decisions about the technical condition it is advisable to use the fuzzy set theory, which adequately takes into account different uncertainties.
  • Keywords
    decision making; fuzzy set theory; mechanical engineering computing; mechatronics; production engineering computing; production equipment; automated production functioning; decisions making; fuzzy set theory; mechatronic modules diagnosis; mechatronic systems; process equipment; process equipment reliability; Current; Fault detection; Fuzzy sets; Mechatronics; Simulation; Temperature sensors; Vibrations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    MECHATRONIKA, 2011 14th International Symposium
  • Conference_Location
    Trencianske Teplice
  • Print_ISBN
    978-1-61284-821-1
  • Type

    conf

  • DOI
    10.1109/MECHATRON.2011.5961091
  • Filename
    5961091