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Principal component analysis and belief-rule-base aided health monitoring method for running gears of high-speed train

查看全文 作　　者：Chao [1,2,3]CHENG;Xinyu [1]QIAO;Wanxiu [2]TENG;Mingliang [2,3]GAO;Bangcheng [4]ZHANG;Xiaojing [4]YIN;Hao [5]LUO 高影响力作者 机构地区：[1]School of Computer Science and Engineering,Changchun University of Technology,Changchun 130012,China;[2]National Engineering Laboratory,CRRC Changchun Railway Vehicles Co.,Ltd.,Changchun 130062,China;[3]Department of Automation,Tsinghua University,Beijing 100084,China;[4]School of Mechatronic Engineering,Changchun University of Technology,Changchun 130012,China;[5]Academy of Astronautics,Harbin Institute of Technology,Harbin 150001,China高影响力机构 出　　处：《Science China(Information Sciences)》索引2020年第63卷第9期,共3页高影响力期刊 基　　金：National Natural Science Foundation of China(Grant Nos.61751304,61803044);Jilin Scientific and Technological Development Program(Grant Nos.20180201125GX,20160520020JH)。 摘　　要：Dear editor,We propose a data-driven health monitoring method for running gears of a high-speed train.In the proposed approach,the principal component analysis(PCA)method is used to perform feature extraction while the belief-rule-base(BRB)method is used to perform health monitoring tasks.To improve the monitoring performance. 关 键 词：RULE ANALYSIS METHOD
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