Sensor Calibration Design Based on D-Optimality Criterion

Journal title

Metrology and Measurement Systems




vol. 23


No 3



sensor ; calibration curve ; calibration design ; D-optimality criterion ; least squares method

Divisions of PAS

Nauki Techniczne




Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation




Artykuły / Articles


DOI: 10.1515/mms-2016-0029 ; ISSN 2080-9050, e-ISSN 2300-1941


Metrology and Measurement Systems; 2016; vol. 23; No 3; 413-424


Betta (2001), Experimental design techniques for optimising measurement chain calibration, Measurement, 30, 115, ; Yi (2007), An improved intelligent calibration method for vortex flowmeter of the, Proc American Control Conference, 2927. ; Betta (1996), Optimum choice of measurement points for sensor calibration, Measurement, 17, 115, ; Sroka (2011), Application of sensitivity analysis to the correction of static characteristics of a phase angle modulator Metrol, Meas Syst, 18, 249. ; Moreno (1999), Statistical measurement calibration based on state estimator results of the IEEE Power Engineering Society Transmission and Distribution Conference New Orleans, Proc USA, 1, 184. ; Rezeki (1999), Realization of self - diagnosis and self - calibration strategies using conventional signal processing and fuzzy approach for distributed intelligent sensor systems of SPIE - The International Society for Optical Engineering, Proc USA, 278. ; Carlson (1997), An instrumentation in the aerospace industry of the International Symposium Instrumentation Society of America Research Triangle Park, Proc USA, 567. ; Fu (2013), A novel calibration procedure for dynamically tuned gyroscope designed by D - optimal approach, Measurement, 3173, ; Schoen (2007), Dynamic compensation of intelligent sensors Transactions on Instrumentation and Measurement, IEEE, 1992. ; Hajiyev (2010), Determination of optimum measurement points via A - optimality criterion for the calibration of measurement apparatus, Measurement, 563, ; Bandyopadhyay (1999), Realization of a national practical pressure scale for pressures up to MPa, Metrologia, 500, 681, ; Hajiyev (2009), Determination of optimum input signals via D - optimality criterion for calibration of measurement instruments Advanced Mathematical & Computational Tools in Metrology Testing VIII Series on Advances in Mathematics for eds World Scientific Publishing Co, Applied Sciences, 78, 154. ; Massicotte (1999), Neural - network - based method of correction in a nonlinear dynamic measuring system of IEEE Instrumentation and Measurement Technology Conference, Proc, 3, 1641.