Experimental Study on Calibration Model Based on Pt100 Temperature Sensor

Abstract

In order to improve measuring-temperature accuracy of the PT100 temperature sensor, we conduct multi-point calibration experiment. The BP neural network based on LM algorithm can process experimental data and the least square method can fit out more accurate formula that express the relationship between the temperature and resistance. It is available that this arithmetic that the interrelated experiment demonstrate its accuracy improve precision of the PT100 temperature sensor.This arithmetic can be applied to the calibration test.