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In-process estimation of time-variant contingently correlated measurands
Published online by Cambridge University Press: 13 May 2013
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
- 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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