APSO-RBF Nonlinear Calibration Method in Carbon Anode Baking Temperature Measurement

Li Xiaobin (Shanghai Institute of Technology)
Sun Haiyan (Shanghai Institute of Technology)
Han Congdao (Shanghai Institute of Technology)
Zhang Jie (CECEP Wind-Power(Xinjiang)Corporation)

Indonesian Journal of Electrical Engineering and Computer Science
Vol 11, No 5: May 2013

A correcting nonlinear errors of the thermocouple sensor based on Radial Basis Function Neural Network using particle swarm optimization are introduced. It solves t he shortcoming of Thermocouple Sensor’s application on large data. The result of experiment shows that the nonlinear calibration based on APSO-RBF has higher precision than the method based on RBF and ANFIS. Then, APSO-RBF is used to test fire path temperature in the anode baking. It is proved that the method is effective. DOI: http://dx.doi.org/10.11591/telkomnika.v11i5.2463