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. |
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