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Uncertainty Quantification in Remaining Useful Life Prediction under Covariate Shift 期刊论文
Neural Computing and Applications, 2023, 页码: 28
作者:  Wang Huanjie;  Bai Xiwei;  Tan Jie;  Liu Chengbao
Adobe PDF(5073Kb)  |  收藏  |  浏览/下载：141/55  |  提交时间：2023/06/19
Remaining useful life  Uncertainty quantification  Bayesian convolutional neural network  
Uncertainty quantification of bearing remaining useful life based on convolutional neural network 会议论文
, Canberra, Australia, 2020-12
作者:  Wang Huanjie;  Bai Xiwei;  Tan, Jie
Adobe PDF(952Kb)  |  收藏  |  浏览/下载：111/43  |  提交时间：2023/05/31
Few-shot multiscene fault diagnosis of rolling bearing under compound variable working conditions 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2022, 页码: 12
作者:  Wang, Sihan;  Wang, Dazhi;  Kong, Deshan;  Li, Wenhui;  Wang, Jiaxing;  Wang, Huanjie
收藏  |  浏览/下载：169/0  |  提交时间：2022/07/25
Cross-Level fusion for rotating machinery fault diagnosis under compound variable working conditions 期刊论文
MEASUREMENT, 2022, 卷号: 199, 页码: 7
作者:  Wang, Sihan;  Wang, Dazhi;  Kong, Deshan;  Li, Wenhui;  Wang, Huanjie;  Pecht, Michael
收藏  |  浏览/下载：200/0  |  提交时间：2022/07/25
Intelligent fault diagnosis  Few-shot learning  Anti-noise  Compound faults  Working condition variation  
Generalization on Unseen Domains via Model-Agnostic Learning for Intelligent Fault Diagnosis 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 11
作者:  Wang, Huanjie;  Bai, Xiwei;  Wang, Sihan;  Tan, Jie;  Liu, Chengbao
Adobe PDF(3477Kb)  |  收藏  |  浏览/下载：271/47  |  提交时间：2022/06/06
Data-driven fault diagnosis  Domain generalization  Model-agnostic learning  Rolling bearing