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《Infrared Technology》 2012-07
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Study on Methods of Online Monitoring and Quantitative Identification of Power System Heat Flux with Thermal Infrared Imager

LV Shi-gui1,LI Dong-zhen2,YANG Li1,YANG Xiao-wei3(1.Shipping and Power College,Naval University of Engineering,Wuhan 430033,China; 2.Wuhan Military Deputy Bureau of General Armament Department,Wuhan 430064,China;3.91656 Army,Shanghai 200135,China)  
Heat flux is one of the key parameters of evaluating power system operating performance.The traditional heat flux testing method has the disadvantages of complex operation,limited field of application,poor accuracy and so on.The two-dimensional wall heat transfer mode of power system is built in this paper.The numerical calculation is adopted to analyze power system wall thermal character generated by triangular or sinusoidal heat flux respectively.And a method of online monitoring and quantitative identification of heat flux is introduced,that is described as follows: basing on the power system wall temperature monitored online by thermal infrared imager,utilizing conjugate gradient method to identify the power system wall heat flux quantitatively.It's feasibility is verified by the numerical simulation,which considers the influences of thermal infrared imager measuring error,heat flux initial assumption and wall material on the quantitative identification result.It is found that the quantitative identification result is mainly influenced by the thermal infrared imager measuring error.Comparing with triangular heat flux and high thermal conductivity of power plant,the quantitative identification result of sinusoidal heat flux of power plant with low high thermal conductivity is less influenced by thermal infrared imager measuring error.When the thermal conductivities are same and the thermal infrared imager measuring error is 0.05℃,the relative identification errors of sinusoidal heat flux based on the inner surface or exterior surface temperature of power plant wall are 0.56% and 1.94% respectively,while the ones of triangular heat flux are 8.13% and 12.65% respectively.However,as to the engineering application,the quantitative identifications of heat flux are acceptable.
【CateGory Index】: TN215
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