Title :
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
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;
Conference_Titel :
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3571-5
DOI :
10.1109/GCIS.2009.426
