| Issue |
Int. J. Metrol. Qual. Eng.
Volume 3, Number 3, 2012
|
|
|---|---|---|
| Page(s) | 137 - 143 | |
| DOI | https://doi.org/10.1051/ijmqe/2012021 | |
| Published online | 13 May 2013 | |
In-process estimation of time-variant contingently correlated measurands
Istituto Nazionale di Ricerca Metrologica (INRIM),
Torino,
Italy
⋆ Correspondence: g.derrico@inrim.it
Received: 12 October 2012
Accepted: 28 October 2012
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.
Key words: Kalman filter / time-varying measurands / real-time estimation / correlation / fuzzy-logic based outlier treatment
© EDP Sciences 2013
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.