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 Contingently Correlated Measurands / D'Errico, GIAMPAOLO EUGENIO; Murru, N.. - In: INTERNATIONAL JOURNAL OF METROLOGY AND QUALITY ENGINEERING. - ISSN 2107-6839. - 3:3(2012), pp. 137-143. [10.1051/ijmqe/2012021]
In-Process Estimation of Time-Variant Contingently Correlated Measurands
D'ERRICO, GIAMPAOLO EUGENIO;
2012
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
