The calibration function of a differential pressure sensor, obtained using a genetic algorithm, has been determined. Calibration is performed using reference signals from a precision instrument. A comparison of the genetic algorithm and the least squares method for constructing the calibration function of a differential pressure sensor has been carried out. A second order polynomial was used as a calibration characteristic.
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References
A. A. Abdullaev and Ch. M. Gadzhiev, “Algorithmic support of the information-measuring system for quantitative accounting of oil products,” Izmer. Tekhn., No. 9, 16–18 (1993).
Ch. M. Gadzhiev, “Issues of processing the results of measurements in the information-measuring system for determining the mass of oil by the hydrostatic method,” Izmer. Tekhn., No. 12, 24–26 (1994).
V. A. Granovskii and T. N. Siraya, Methods for Processing Experimental Data in Measurements, Energoatomizdat, Leningrad (1990).
G. Papa, Advances in Evolutionary Algorithms Research, Nova Sci. Pub. Inc., London (2015).
L. Jacobson and B. Kanber, Genetic Algorithms in Java Basics, Apress, New York (2015).
U. Hacizade, “Genetic algorithm based calibration of measurement apparatus,” IWW 2016: Abstr. 8th Int. Conf. Image Processing, Wavelet and Applications, Istanbul, Turkey, Sept. 22–24, 2016, p. 50.
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Translated from Izmeritel’naya Tekhnika, No. 11, pp. 33–35, November, 2018.
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Hacizade, U. Comparison of the Genetic Algorithm and the Least Squares Method for Determining the Calibration Function of a Differential Pressure Sensor. Meas Tech 61, 1081–1085 (2019). https://doi.org/10.1007/s11018-019-01552-x
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DOI: https://doi.org/10.1007/s11018-019-01552-x