journal6 ›› 2010, Vol. 31 ›› Issue (2): 79-82.

• Physics and electronics • Previous Articles     Next Articles

Research on Fault Diagnosis of Temperature Sensor Based on RBF Neural Network


  1. (1.College of Electrical and Information Engineering,Hunan University,Changsha 410082,China;2.Department of Physics and Information Engineering,Huaihua College,Huaihua 418000,Hunan China)
  • Online:2010-03-25 Published:2012-04-18

Abstract: This paper presents a method of the temperature sensor fault diagnosis based on RBF neural network.By using temperature sensor output information in the text TE (Tennessee-Eastman) control system,a dynamic neural network model of the temperature sensor output is created.This model can be used on-line fault diagnosis.The simulation results show that the model has a strong anti-interference and good convergence and stability.

Key words: fault diagnosis, RBF neural network, sensors

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