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Wavelet neural network based pollution location diagnosis for heating surfaces of boiler

JIN Xi-zi~1,WANG Zheng-xuan~2 (1.Faculty of Compute Science,Northeast Normal University,Changchun 130024,China; 2.Faculty of Compute Science and Technology,Jilin University,Changchun 130012,China)  
The paper proposes a new method of utility boiler location diagnosis on the basis of wavelet neural networks,which sets up a wavelet neural networks based diagnosis model for pollution location,using the gas temperature of different heating surfaces exits as feature parameter.It is indicated that this model can effectively diagnose the pollution location of heating surfaces of utility boilers by result of simulating test.
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