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J-GLOBAL ID：201602215772794688   Reference number：16A1030618

Fault diagnosis technology of rolling bearing based on LMD and BP neural network

LMDとBPニューラルネットワークに基づく転がり軸受の故障診断技術【Powered by NICT】

Author (3)： Zhang Li-Pin (School of Reliability and Systems Engineering, Beihang University and Science & Technology on Reliability & Environment Engineering Laboratory, Beijing, China) ,  Liu Hong-Mei (School of Reliability and Systems Engineering, Beihang University, China) ,  Lu Chen (School of Reliability and Systems Engineering, Beihang University and Science & Technology on Reliability & Environment Engineering Laboratory, Beijing, China)
Material： IEEE Conference Proceedings  (IEEE Conf Proc)
Volume： 2016  Issue： WCICA  Page： 1327-1331  Publication year： 2016 
JST Material Number： W2441A  Document type： Proceedings
Article type： 原著論文  Country of issue： United States (USA)  Language： ENGLISH (EN)

Abstract/Point： Rolling bearing is a key compo...

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Thesaurus term： algorithm ,  *fault diagnosis ,  natural frequency ,  maintenance cost ,  power spectrum ,  rotating machinery ,  electric power ,  reliability (property) ,  neural network (network) ,  *rolling bearing ,  outer race ,  inner race ,  *back propagation neural network ,  self-adaptation system ,  cost
Semi thesaurus term： 自己適応 ,  振動信号 , 【Automatic Indexing@JST】

JST classification (2)： Signal theory  (ND02020G) ,  Neurocomputers  (JC06010Q)

Terms in the title (3)： BPニューラルネットワーク ,  転がり軸受 ,  故障診断