An algorithm for concurrent estimation of time-varying quantities

被引：7
|
作者：
D'Errico, Giampaolo E. [1 ]
Murru, Nadir [1 ]
机构：
[1] Ist Nazl Ric Metrol INRIM, I-10135 Turin, Italy
来源：
MEASUREMENT SCIENCE AND TECHNOLOGY | 2012年 / 23卷 / 04期
关键词：
in-process metrology; time-varying measurands; real time estimation; Kalman filter technique; DYNAMIC MEASUREMENTS;
D O I：
10.1088/0957-0233/23/4/045008
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
An original software system for in-process Bayesian estimation is presented with application to a vector of time-varying measurands. The estimation algorithm, mainly based on the Kalman filter technique, is an innovative application to in-process metrology. The programmed strategy, data flow, system/operator interfaces and implemented routines are illustrated and supported by numerical examples. The system performance is demonstrated by reporting and discussing results of simulation trials of metrological interest. The algorithm proves convergent even in severe trials.
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页数：9
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