A software tool for simultaneous in-process treatment of value and uncertainty of measurement

This SW is a deliverable for the joint research project Metrology for New Industrial Measurement Technologies (NIMTech). NIMTech receives cofunding from the European Community’s Seventh Framework Program ERA-NETPlus under the iMERA-Plus Project Grant Agreement 217257. A metrological customization of Kalman filter technique is implemented with application to basic Coordinate Measuring Machine (CMM) tasks. This is shown to accomplish Bayesian integration of expert’s pre-process knowledge and in-process measurement results—akin to type B and type A uncertainty evaluation in the framework of the Joint Committee for Guides in Metrology Guide to the expression of uncertainty in measurement, respectively. Uncertainty assessment is automated accordingly. Based on recursive processing of fresh data only, relevant advantages are real-time performance and memory saving.