REAL–TIME ESTIMATION OF DYNAMIC MULTI–DIMENSIONAL MEASURANDS

Giampaolo E. D’Errico, Nadir Murru

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

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IMEKO-WC-2012-TC21-O18.pdf

DOI

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IMEKO TC

TC21 - Mathematical Tools for Measurements

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