Fitting and interpolating calibration data for carbon-glass thermometers

Autor: D.J. Gillespie, A.C. Ehrlich
Rok vydání: 1989
Předmět:
Zdroj: Cryogenics. 29:1092-1095
ISSN: 0011-2275
DOI: 10.1016/0011-2275(89)90266-x
Popis: The function In R = A T − m + B has been used to fit the calibration data of nine carbon-glass resistance temperature sensors. By dividing the data into seven distinct regions and using the least-squares method to fit the data in each region with this function, it was possible to fit each calibration set to within the stated accuracy of the calibration. The advantage of this method is that the fitting function is easy to use, easy to invert analytically and yields better interpolations than some other commonly used functions. In addition a procedure is also given whereby miscalibrated points or small jumps in the resistivity of the sensor can be easily identified.
Databáze: OpenAIRE