| 基于不完备模糊规则库的信息融合故障诊断方法 |
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| 引用本文： | 徐晓滨,吉吟东,文成林.基于不完备模糊规则库的信息融合故障诊断方法[J].南京航空航天大学学报,2011(Z1). |
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| 作者姓名： | 徐晓滨 吉吟东 文成林 |
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| 作者单位： | 清华大学自动化系;清华大学信息技术研究院;杭州电子科技大学自动化学院; |
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| 基金项目： | 国家自然科学基金(61004070,60934009,61034006,60874105)资助项目; 中国博士后基金(20100470353)资助项目; 国家科技支撑计划(2009BAG12A08)资助项目 |
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| 摘 要： | 在基于模糊推理的故障诊断专家系统中,规则库的不完备常常会引起系统的某些输入产生的输出不确定。针对此问题,将模糊推理与证据理论相结合提出了一种新的融合诊断方法。首先根据证据的随机集表示及随机集扩展准则将模糊输入映射到输出,并聚合生成故障命题的基本概率赋值(BPA),以度量由规则库不完备和输入模糊性引起的输出不确定。然后利用Dempster组合规则将多个不完备规则库提供的BPA融合,用融合结果判决故障,并以电机转子故障诊断为例,验证了所提方法可以有效地提高故障确诊率。
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| 关 键 词： | 故障诊断 模糊推理 信息融合 证据理论 随机集理论 |
Information Fusion Method for Fault Diagnosis Based on Incomplete Fuzzy Rule Bases |
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| Xu Xiaobin,Ji Yindong,Wen Chenglin.Information Fusion Method for Fault Diagnosis Based on Incomplete Fuzzy Rule Bases[J].Journal of Nanjing University of Aeronautics & Astronautics,2011(Z1). |
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| Authors: | Xu Xiaobin Ji Yindong Wen Chenglin |
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| Institution: | Xu Xiaobin1,2,Ji Yindong2,Wen Chenglin3(1.Department of Automation,Tsinghua University,Beijing,100084,China,2.Research Institute of Information Technology,3.School of Automation,Hangzhou Dianzi University,Hangzhou,310018,China) |
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| Abstract: | In the fuzzy-reasoning expert system of fault diagnosis,the fuzzy rule base is often incomplete,thus leading to uncertain outputs for some possible inputs.A fusion fault diagnosis algorithm is presented based on the fuzzy rule reasoning and the evidence theory.Firstly,using the random set formalism of evidence and the extension principle of random set,fuzzy inputs are mapped to outputs,then integrated to generate basic probability assignment(BPA) for measuring the uncertainties of outputs caused by the inco... |
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| Keywords: | fault diagnosis fuzzy reasoning information fusion evidence theory random set theory |
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