• DocumentCode
    2092984
  • Title

    Application of set membership identification for fault detection of MEMS

  • Author

    Reppa, Vasso ; Tzes, Anthony

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Patras Univ., Achaia
  • fYear
    2006
  • fDate
    15-19 May 2006
  • Firstpage
    643
  • Lastpage
    648
  • Abstract
    In this article, a set membership (SM) identification technique is tailored to detect faults in microelectromechanical systems. The SM-identifier estimates an orthotope which contains the system´s parameter vector. Based on this orthotope, the system´s output interval is predicted. If the actual output is outside of this interval, then a fault is detected. Utilization of this scheme can discriminate mechanical-component faults from electronic component variations frequently encountered in MEMS. For testing the suggested algorithm´s performance in simulation studies, an interface between classical control-software (MATLAB) and circuit emulation (HSPICE) is developed
  • Keywords
    SPICE; control engineering computing; fault diagnosis; mechanical engineering computing; micromechanical devices; MEMS; circuit emulation; classical control-software; fault detection; mechanical-component faults; microelectromechanical systems; set membership identification technique; Circuit faults; Circuit simulation; Circuit testing; Electrical fault detection; Electronic components; Fault detection; Fault diagnosis; Microelectromechanical systems; Micromechanical devices; Samarium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2006. ICRA 2006. Proceedings 2006 IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-9505-0
  • Type

    conf

  • DOI
    10.1109/ROBOT.2006.1641783
  • Filename
    1641783