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http://yadda.icm.edu.pl:80/baztech/element/bwmeta1.element.baztech-article-BSW1-0062-0012

Czasopismo

Metrology and Measurement Systems

Tytuł artykułu

Universal kriging in multiparameter transducer calibration

Autorzy Janiczek, J. 
Treść / Zawartość http://www.metrology.pg.gda.pl/archives.html http://journals.pan.pl/dlibra/journal/99851
Warianty tytułu
Języki publikacji EN
Abstrakty
EN The paper presents the universal kriging method applied in calibration of multiparameter transducers. If a measured transducer characteristic is not within an assumed error margin, it is necessary to perform calibration to establish its individual transfer function. The universal kriging method may be then applied in order to evade repeating the measurements for every considered transducer, thus saving significant amounts of time.
Słowa kluczowe
EN correction of transducer transfer function   A/D converter  
Wydawca Komitet Metrologii i Aparatury Naukowej PAN
Czasopismo Metrology and Measurement Systems
Rocznik 2009
Tom Vol. 16, nr 4
Strony 661--667
Opis fizyczny Bibliogr. 19 poz., tab., wzory
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, janusz.janiczek@pwr.wroc.pl
Bibliografia
[1] R. Boudjemaa, A.B. Forbes, P.M. Harris: Multivariate empirical models and their use in metrology. Report to the National Measurement. NPL Report CMSC 32/03. December 2003.
[2] N. Cressie: “The origins of kriging”. Mathematical Geology, no. 22, 1990, pp. 239-252.
[3] G.M. Escandar, P.C. Damiani, H.C. Goicoechea, A.C. Olivieri: “A review of multivariate calibration methods applied to biomedical analysis”. Microchemical Journal, no. 82, 2006, pp. 29-42.
[4] P. Goovaerts: “Ordinary Cokriging Revisited”. Mathematical Geology, vol. 30, no. 1, 1998, pp. 21-42.
[5] S. Huang, R.Z. Morawski, A. Barwicz: “Static Calibration of Transducers Using Gauss-Function-Based Approximation”. IEEE Trans. Instr. Measur., vol. 45, no. 3, June 1996.
[6] J. Janiczek: “Resistance transducers for the measurement of gas flow”. Pomiary Automatyka Kontrola, vol. 53, nr 9, 2007, pp. 458-461. (in Polish)
[7] J. Janiczek, M. Zachariasiewicz-Woźniak: “Miernik przepływu i objętości dla potrzeb gazownictwa” Metrologia wspomagana komputerowo. MWK ‘2003. VI Szkoła - konferencja, Waplewo, 26-29 maja 2003, T.3. Granty i projekty celowe. Referaty. Warszawa, Instytut Podstaw Elektroniki, Wydział Elektroniki WAT, 2003. (in Polish)
[8] J. Janiczek, M. Zachariasiewicz-Woźniak: “Calibration of a multiparameter sensor: an example of flow meters with unnormalized pneumatic resistance”. Metrol. Meas. Syst., vol. X, no. 4, 2003, pp. 411-416.
[9] O. Kanoun, H.R. Tränkler: “Sensor Technology Advances and Future Trends”. IEEE Trans. Instr. Measur., vol. 53, no. 6, Dec. 2004, pp. 1497-1501.
[10] K.F. Lyahou, G. Van der Horn, J.H. Huijsing. “A Noniterative Polynomial 2-D Calibration Method Implemented in a Microcontroller”. IEEE Trans. Instr. Measur., vol. 46, no. 4, Aug. 1997.
[11] 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.
[12] L. Xu, J. Qiu Zhang, Y. Yan: “A Wavelet-Based Multisensor Data Fusion Algorithm”. IEEE Trans. Instr. Measur., vol. 53, no. 6, Dec. 2004.
[13] S. Marco, A. Ortega, A. Pardo, J. Samitier: “Gas Identification with Tin Oxide Sensor Array and Self-Organizing Maps: Adaptive Correction of Sensor Drifts”. IEEE Trans. Instr. Measur. vol. 47, no. 1, Feb. 1998, pp. 677-682.
[14] J. Mroczka, D. Szczuczyński: “Inverse problems formulated in terms of first-kind fredholm integral equations in indirect measurement”. Metrol. Meas. Syst., vol. XVI, no. 3, 2009, pp. 333-357.
[15] E. Pardo-Ig´uzquiza, P. Dowd: “Variance-Covariance Matrix of the Experimental Variogram: Assessing Variogram Uncertainty”. Mathematical Geology, vol. 33, no. 4, 2001.
[16] M.L. Stein: Interpolation of Spatial Data: Some Theory for Kriging. Series in Statistics. Springer, New York, 1999.
[17] S.C. Stubberud, K.A. Kramer: “Data Association for Multiple Sensor Types Using Fuzzy Logic”. IEEE Trans. Instr. Measur., vol. 55, no. 6, 2006, pp. 2292-2303.
[18] D.J.J. Walvoort, de J.J. Gruijter : “Compositional Kriging: A Spatial Interpolation Method for Compositional Data”. Mathematical Geology, vol. 33, no. 8, 2001, 951-966.
[19] J.M. Verhoef, N. Cressie: “Multivariable spatial prediction”. Mathematical Geology, no. 25, 1993, pp. 779-799.
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