REAL–TIME ESTIMATION OF DYNAMIC MULTI–DIMENSIONAL MEASURANDS

• Abstract:

  This paper is devoted to the study and implementation of real–time techniques for the estimation of time–varying, contingently correlated quantities, and relevant uncertainty. An estimation algorithm based on a metrological customization of the Kalman filtering technique is presented, starting from a Bayesian approach. Moreover, a fuzzy–logic routine for real–time treatment of possible outliers, is incorporated in the overall software procedure. The system applicability is demonstrated by results of simulations performed on dimensional measurement models.
• Keywords:

  Kalman filter, real-time estimation, time-varying measurands, correlation, outlier treatment
• Download:

  IMEKO-WC-2012-TC21-O18.pdf
• DOI:

  _unreg_wc-2012.TC21-O18

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