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《Chinese Journal of Sensors and Actuators》 2007-07
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Measure and Rectification Method of Pressure Based on WNN-PSO

LI Xiao-bin1,2,LIU Ding1,ZUO Lei21.Research Center of Information and Control Engineer,Xi'an University of Technology,Xi'an 710048,China; 2.College of Electrical and Information Engineering,Lanzhou University of Technology,Lanzhou 730050,China  
A correcting nonlinear errors of the pressure sensor based on Wavelet Neural Network using particle swarm optimization is introduced.It solves the shortcoming of Pressure Sensor's application on high temperature gas.The result of experiment shows that the nonlinear calibration based on WNN-PSO has higher precision than the method based on BP and WNN.Then,WNN-PSO is used to test flue-path Pressure in the anode baking.It is proved that the method is effective.
【Fund】: 国家重大科技攻关计划基金资助项目(2002BA901A28);; 甘肃省省长基金资助项目(GS015-A52-012)
【CateGory Index】: TH823.2
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