• DocumentCode
    3181021
  • Title

    An Intelligent BIST Mechanism for MEMS Fault Detection

  • Author

    Tanha, Jafar ; Asgary, Reza

  • Author_Institution
    Noor Univ., Tehran
  • fYear
    2007
  • fDate
    23-26 May 2007
  • Firstpage
    12
  • Lastpage
    14
  • Abstract
    Diversity of application fields and properties of new materials generate new failure mechanisms in micro electro mechanical systems (MEMS). Now if we take into account the lessons from the past in microelectronics, we note that failure analysis played a major rule not only in development time reduction but also in qualification and reliability evaluation Most of the researches which have been done in MEMS reliability are about new material properties and fabrication technologies. Only a few fault detection methods have been introduced for fault detection in MEMS. Some of these methods can be used only for special MEMS. Additionally most of them need a precise model of system. In this paper a new intelligent method is proposed for fault detection in MEMS. In addition some parts of proposed neural network are changed in order to implement it as a BIST mechanism.
  • Keywords
    built-in self test; failure analysis; fault diagnosis; micromechanical devices; neural nets; reliability; MEMS reliability; failure analysis; failure mechanisms; fault detection; intelligent BIST mechanism; micro electro mechanical systems; neural network; Built-in self-test; Failure analysis; Fault detection; Material properties; Materials reliability; Mechanical factors; Mechanical systems; Microelectronics; Micromechanical devices; Qualifications; BIST; MEMS; Neural Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Perspective Technologies and Methods in MEMS Design, 2007. MEMSTECH 2007. International Conference on
  • Conference_Location
    Lviv-Polyana
  • Print_ISBN
    978-966-553-614-7
  • Type

    conf

  • DOI
    10.1109/MEMSTECH.2007.4283415
  • Filename
    4283415