• DocumentCode
    2814577
  • Title

    Initialization of the BIMBO self-test method using binary inputs and outputs

  • Author

    Juillard, JérÔme ; Colinet, Eric

  • Author_Institution
    SUPELEC, Minatec
  • fYear
    2007
  • fDate
    12-14 Dec. 2007
  • Firstpage
    578
  • Lastpage
    583
  • Abstract
    This paper deals with the initialization of the BIMBO method, a deterministic identification method based on binary observation, for the (self-) test of integrated electronic and electromechanical systems, such as MEMS. Finding an adequate starting point for the parameter estimation algorithm may be crucial, depending on the chosen model parameterization. We show how this starting point may be obtained using only binary inputs and outputs and a few straightforward calculations. The practical implementation of this method only requires a one-bit digital-to-analog converter (DAC) and a one-bit analog-to-digital converter (ADC). This makes the proposed approach very amenable to integration and leads to no additional cost compared to the BIMBO method. We describe the method from a theoretical point of view, discuss its implementation and illustrate it in some idealized cases.
  • Keywords
    mechanical testing; micromechanical devices; parameter estimation; BIMBO self-test method; MEMS; binary observation; deterministic identification method; electromechanical systems; integrated electronic system; one-bit analog-to-digital converter; one-bit digital-to-analog converter; parameter estimation algorithm; Analog-digital conversion; Automatic testing; Built-in self-test; Costs; Digital-analog conversion; Electromechanical systems; Electronic equipment testing; Micromechanical devices; Parameter estimation; System testing; Parameter estimation; binary data processing; integrated electronics; microsystems; self-test;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2007 46th IEEE Conference on
  • Conference_Location
    New Orleans, LA
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-1497-0
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2007.4434031
  • Filename
    4434031