Knowledge handling methods in qualitative ＆ quantitative fault diagnosis platformChinese Full Text
FAN Shuai1,CHAI Xu-dong1,LI Tan2(1.Beijing Simulation Center,Beijing 100854,China;2.School of Automation ＆Electric Engineering,Beihang University,Beijing 100191,China)
Abstract: To solve the issue of fault diagnosis in qualitative ＆quantitative system,qualitative ＆quantitative fault diagnosis platform of knowledge acquisition technique based on fuzzy causal directed graph was proposed.Firstly,the architecture of the qualitative ＆quantitative fault diagnosis platform based on this kind of knowledge acquisition technique was studied.Secondly,key technologies such as the knowledge handling methods of the platform were studied in particular,including the knowledge acquisition technique based on fuzzy causal directed graph to collect and capture the fault diagnosis knowledge,the combined solution frame of the qualitative knowledge and quantitative models to implement the fault diagnosis system,and the data interactive interface method of the qualitative ＆quantitative system to achieve the data exchange.Finally,application example demonstrated the effectiveness of the proposed method.
Keywords：
knowledge acquisition; qualitative ＆ quantitative system; fault diagnosis; fuzzy causal directed graph; spacecraft;
- DOI：
10.13196/j.cims.2010.10.154.fansh.033
- Series：
- Subject：
- Classification Code：
TH165.3
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