• DocumentCode
    2340900
  • Title

    Calibration of fiber-optic sensors using universal approximators

  • Author

    Porada, E. ; Bock, W.J.

  • Author_Institution
    Lab. d´´Optoelectron., Quebec Univ., Hull, Que., Canada
  • fYear
    1994
  • fDate
    10-12 May 1994
  • Firstpage
    269
  • Abstract
    A calibration-through-learning method for fiber-optic sensors in measurement systems is presented. The method involves exact integral representations of the measurand value, initially using a continuum of hidden processing units. In the next step, discrete subsets of the continuum uniformly approximate the measurand. This allows for a design of connectionist networks capable of the same approximation capability
  • Keywords
    calibration; computer architecture; computerised instrumentation; fibre optic sensors; image processing equipment; neural nets; approximation capability; calibration; connectionist networks; discrete subsets; fiber-optic sensors; hidden processing units; integral representations; learning; universal approximators; voltaic models; Calibration; Current measurement; Diodes; Distortion measurement; Inverse problems; Optical fiber sensors; Pressure measurement; Sensor systems; Strain measurement; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 1994. IMTC/94. Conference Proceedings. 10th Anniversary. Advanced Technologies in I & M., 1994 IEEE
  • Conference_Location
    Hamamatsu
  • Print_ISBN
    0-7803-1880-3
  • Type

    conf

  • DOI
    10.1109/IMTC.1994.352076
  • Filename
    352076