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.

In-process estimation of time-variant contingenently correlated measurands

MURRU, NADIR
2012-01-01

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.
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http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=8918899&fulltextType=RA&fileId=S2107683912000210
G. E. D'Errico; N. Murru
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/135134
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