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《Journal of Changchun Post and Telecommunication Institute》 2005-06
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Expert System for Faults Diagnosis of Battery Based on Fuzzy Set Theory

LIU Wen-jie~1,QI Guo-guang~2(1.Software School,Hunan University,Changsha 410082,China;2.Department of Computer Science and Technology,Tsinghua University,Beijing 100084,China)  
The on-line fault diagnosis of battery is an important aspect in the research of using battery.On the basis of fuzzy theory,an expert system of the faults diagnosis for battery is presented.Then this paper analyses how to determine the membership degrees value of the symptoms considering the characteristics of battery.Besides,it also analyses the flow of inference engine after it has analysed how to form the fuzzy equations and how to decide the threshold value.Finally some diagnostic results are presented.
【Fund】: 国家“863”高科技基金资助项目(2003AA501133)
【CateGory Index】: TP182
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