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《East China Electric Power》 2002-01
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A Study on Steam Condenser Fault Diagnosis Based on Back Propagation Artifical Neural Network

Tang Xiaojun(Electric Power Inst.of Shanghai,Shanghai 200090) Cui Po(Pozhou Cogenerating Plant,Bozhou 236800) Li Yong(Electric Power Uni.of Northern China,Beijing 102206) Li Ningjie(ECEPTRI,Shanghai 200437)  
The fault diognosis of condenser by BP net work in the artificial neural network is described:The method has the advantages of simple computation,convinient and pratical to use and pertains a considerably reliable diagnostic result.
【Fund】: 上海市教育发展基金“曙光计划”;; 教育部“洁净煤燃烧重点实验室”访问学者基金资助
【CateGory Index】: TP183
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1 Zhao Ning1,Wang Hui-jie2(1.North China Electric Power Research Institute Co.Ltd,Beijing 100045,China;2.North China Electric Power University,Baoding 071003,China);The Variable Load Operation Characteristic and the Optimal Initial Steam Pressure in Steam Turbine[J];华北电力技术;2011-03
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