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《Journal of Shanghai Institute & Electric Power》 2001-01
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Development and Design of Chemistry Expert Diagnosis System in Fossil Power Plant

LI Yu-chun, ZHANG Fang, YANG Chang-zhu, XIAO Zhong-liang (Chem. Dept., Changsha Univ. Of Electric Power, Changsha 410077, China)  
This paper presents studies on advanced chemistry diagnosis with combination of latest technology on knowledge database and expert diagnosis for 300 MW generating unit with full chemistry instruments. These applied technologies include condition-matching diagnosis, predicate logic diagnosis and on-line analysis and process. Responding instances are given. Application proves these functions valuable and practical on the spot.
【CateGory Index】: TM621.9
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【References】
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1 ZHANG Fang1, WANG Hongmei1, LI Shanfeng2, LI Yuchun1(1.Dept. of Chemistry,Changsha University of Electric Power,Changsha 410077,China;2.Dept. of Chemistry,Hubei Electric Power Experimental Institute,Wuhan 430074,China);Application of Excel2000 on Engineering Data for Double-Y Axis Analysis[J];Journal of Changsha University of Electric Power(Natural Science);2003-01
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