Nonlinearity Correction of the Thermocouple Based on Neural Network

Author

Tang, Jianwen ; Zhang, Yong ; Tang, Xiaojun ; Liu, Junhua

Author_Institution

State Key Lab. of Electr. Insulation & Power Equip., Xi´´an Jiaotong Univ., Xian, China

Volume

3

fYear

2009

fDate

19-21 May 2009

Firstpage

28

Lastpage

32

Abstract

Thermocouples are widely used in the industrial measurement. However they have serious nonlinear problems in the larger range of measuring temperature, and result in the big error in the measuring results. Taking nickel chromium-silicon nickel thermocouple (type K) as an example, BP (back propagation) neural network technology was used to conduct corrections on the nonlinear input and output characteristics of the thermocouple. The C program on the nonlinearity correction model of the thermocouple was given and could be used in MCU (micro controller unit).

Keywords

backpropagation; computerised instrumentation; neural nets; temperature measurement; thermocouples; C program; backpropagation neural network technology; industrial measurement; micro controller unit; nickel chromium-silicon nickel thermocouple; nonlinear input characteristics; nonlinear output characteristics; nonlinearity correction model; temperature measurement; Dielectrics and electrical insulation; Intelligent networks; Intelligent systems; Laboratories; Neural networks; Neurons; Nickel; Temperature distribution; Temperature measurement; Thermoelectricity; BP neural network; nonlinear correction; thermocouple;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems, 2009. GCIS '09. WRI Global Congress on

Conference_Location

Xiamen

Print_ISBN

978-0-7695-3571-5

Type

conf

DOI

10.1109/GCIS.2009.426

Filename

5209200