CORC  > 西安交通大学
An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings
Yang, Bin; Lei, Yaguo; Jia, Feng; Xing, Saibo
刊名Mechanical Systems and Signal Processing
2019
卷号122页码:692-706
关键词Convolutional neural network Domain adaptation Intelligent fault diagnosis Rolling Element Bearing Transfer learning
ISSN号0888-3270
URL标识查看原文
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/2829171
专题西安交通大学
推荐引用方式
GB/T 7714
Yang, Bin,Lei, Yaguo,Jia, Feng,et al. An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings[J]. Mechanical Systems and Signal Processing,2019,122:692-706.
APA Yang, Bin,Lei, Yaguo,Jia, Feng,&Xing, Saibo.(2019).An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings.Mechanical Systems and Signal Processing,122,692-706.
MLA Yang, Bin,et al."An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings".Mechanical Systems and Signal Processing 122(2019):692-706.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace