REAL–TIME ESTIMATION OF DYNAMIC MULTI–DIMENSIONAL MEASURANDS |
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| Giampaolo E. D’Errico, Nadir Murru |
- 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 filter, real-time estimation, time-varying measurands, correlation, outlier treatment
- Download:
- IMEKO-WC-2012-TC21-O18.pdf
- DOI:
- -
- Event details
- Event name:
- XX IMEKO World Congress
- Title:
Metrology for Green Growth
- Place:
- Busan, REPUBLIC of KOREA
- Time:
- 09 September 2012 - 12 September 2012