激光技术Issue(2)：145-148,4.DOI:10.7510/jgjs.issn.1001-3806.2014.02.001
基于热电偶动态校准的非线性拟合方法研究
Nonlinear fitting method based on dynamic calibration of thermocouples
摘要
Abstract
In order to improve the accuracy of thermocouple dynamic calibration , based on a new thermocouple dynamic calibration system composed of a semiconductor laser , infrared detector and calibration thermocouples , the static calibration of the infrared detector was analyzed in the dynamic calibration system .According to the principle of back propagation(BP) neural network, the structure and the parameters of neural network were determined .The dynamic calibration experiment with ordinary K type armor-loaded thermocouple was performed and the static calibration data of infrared detector was acquired .Nonlinear curve fitting was performed using the least square method and BP neural network . The fitting results of the both the methods were analyzed and the fitting curves were obtained .The results show that , the fitting effect of BP neural network is better than the traditional least square method when there is less and uneven distributed data.The error caused by data fitting is reduced , dynamic characteristics of the thermocouple are acquired more accurately and thermocouple dynamic compensation is realized .The study has an important reference to the research of thermocouple dynamic characteristics .关键词
测量与计量/动态校准系统/静态校准/反向传播神经网络/非线性拟合Key words
measurement and metrology/dynamic calibration system/static calibration/BP neural network/nonlinear fitting分类
信息技术与安全科学引用本文复制引用
杨宇,郝晓剑,武耀艳,周汉昌..基于热电偶动态校准的非线性拟合方法研究[J].激光技术,2014,(2):145-148,4.基金项目
山西省回国留学人员科研基金资助项目（2012-068）；太原市科技局明星专项基金资助项目（120247-20）；山西省人力资源和社会保障厅留学回国人员科技活动资助项目 （）
