Multiparameter approximation of transducer transfer function by kriging method

• Autorzy: Janiczek J.
• Języki publikacji: EN

Abstrakty

EN

The paper presents an application of the ordinary kriging method to predict multiparameter transfer function values in selected points in a transducer. This method allowed to soften the severity of measuring regime during determination of the transducer transfer function.

Słowa kluczowe

EN

correction of transducer transfer function; kriging

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2009
• Tom: Vol. 16, nr 3
• Strony: 479--489
• Opis fizyczny: Bibliogr. 20 poz., rys., tab., wykr.

Twórcy

autor

Janiczek J.

• Wroclaw University of Technology, Department of Electronics, Chair of Electronic and Photonic Metrology, B. Prusa 53/55, 51-317 Wrocław, Poland,

Bibliografia

• [1] A. Arik: “Area Influence Kriging”. Mathematical Geology, vol. 34, no. 7, October 2002, pp. 783-796.
• [2] N. Cressie: “The origins of kriging”. Mathematical Geology, vol. 20, no. 3, 1998, pp. 239-252.
• [3] P. Goovaerts: “Ordinary Cokriging Revisited”. Mathematical Geology, vol. 30, no. 1, 1998, pp. 21-42.
• [4] T.C. Haas: “Kriging and automated semivariogram modeling within a moving window”. Atmospheric Environment, 24A, 1990.
• [5] V.R. Joseph: “Limit Kriging”. Technometrics, vol. 48, no. 4, 2006, pp. 458-466.
• [6] J.C. Jouhaud, P. Sagaut, B. Labeyrie : “A Kriging Approach for CFD/Wind Tunnel Data Comparison”. Journal of Fluids Engineering, vol. 128, no. 4, 2006, pp. 847-855.
• [7] Kai-Tai Fang, Hong Yin, Yi-Zeng Liang : “New Approach by Kriging Models to Problems in QSAR”. J. Chem. Inf. Comput. Sci., vol. 44, no. 6, 2004, pp. 2106-2113.
• [8] Lam K.Y., Wang Q.X., Hua Li: “A novel meshless approach - Local Kriging (LoKriging) method with twodimensional structural analysis”. Computational Mechanics, vol. 33, issue 3, 2004, pp. 235-244.
• [9] L. Lebensztajn, C. Marretto, M. Costa, J.L. Coulomb: “Kriging: A Useful Tool for Electromagnetic Device Optimization”. IEEE Transactions on Magnetics, vol. 40, no. 2, Mar. 2004, pp. 1196-1199.
• [10]E. Pardo-Iguzquiza, P.A. Dowd: “Multiple indicator cokriging with application to optimal sampling for environmental monitoring”. Computers & Geosciences, vol. 31, no. 1, 2005, pp. 1-13.
• [11]M.L. Stein: Interpolation of Spatial Data: Some Theory for Kriging. Series in Statistics. Springer, New York, 1999.
• [12]H. Subramanyam, S. Pandalai: “On the Equivalence of the Cokriging and Kriging Systems”. Mathematical Geology, vol. 36, no. 4, May 2004, pp. 507-523.
• [13]D.J.J. Walvoort, J.J de Gruijter : “Compositional Kriging: A Spatial Interpolation Method for Compositional Data”. Mathematical Geology, no. 33, 2001, pp. 951-966.
• [14]J.M. Ver Hoef, N. Cressie: “Multivariable spatial prediction”. Mathematical Geology, vol. 26, no. 2, 1994, pp. 273-275.
• [15]J. Janiczek: “Wieloparametrowa korekcja nieliniowości charakterystyk czujników pomiarowych”. Metrologia wspomagana komputerowo. MWK, 1999. (in Polish)
• [16]J. Janiczek. “Wyznaczanie charakterystyk wieloparametrowych przetworników pomiarowych”. PAK, vol. 53, nr 9, 2007. (in Polish)
• [17]J. Janiczek, M. Zachariasiewicz-Woźniak: “Calibration of a multiparameter sensor: an example of flow meters with unnormalized pneumatic resistance”, Metrol Meas Syst, vol. X, nr 4, 2003, pp. 411-416.
• [18]G. Matheron: “Principles of geostatistics”. Econ. Geol., vol. 58, 1963, pp. 1246-1266,
• [19]J. Mroczka: “Metrologia w procesie poznania”. Współczesna metrologia - zagadnienia wybrane. WNT. Warszawa, 2004. (in Polish)
• [20]A. Gondek, T. Filipiak: “The effect of double Venturi’s structural parameters on the reinforcement value and flow coefficient”. Metrol Meas Syst, vol. XV, no 3, 2008. pp. 287-300.