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In-process estimation of time-variant contingentlycorrelated measurands

Published online by Cambridge University Press:  13 May 2013

G. E. D’Errico  and
N. Murru
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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 filtertime-varying measurandsreal-time estimationcorrelationfuzzy-logic based outlier treatment
Type
Research Article
Information
International Journal of Metrology and Quality Engineering , Volume 3 , Issue 3 , 2012 , pp. 137 - 143
Copyright
© EDP Sciences 2013

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