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Knowledge enhanced ensemble method for remaining useful life prediction under variable working conditions 期刊论文
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2024, 卷号: 242, 页码: 13
作者:  Li, Yuan;  Li, Jingwei;  Wang, Huanjie;  Liu, Chengbao;  Tan, Jie
收藏  |  浏览/下载：40/0  |  提交时间：2024/02/22
Remaining useful life  Ensemble learning  Attention mechanism  Convolutional neural network  Transfer learning  
Label propagation-based unsupervised domain adaptation for intelligent fault diagnosis 期刊论文
JOURNAL OF INTELLIGENT MANUFACTURING, 2023, 页码: 18
作者:  Wang, Huanjie;  Li, Yuan;  Bai, Xiwei;  Li, Jingwei;  Tan, Jie;  Liu, Chengbao
收藏  |  浏览/下载：89/0  |  提交时间：2023/11/17
Intelligent diagnosis  Rotating machinery  Label propagation  Subpopulation shift  Unsupervised domain adaptation  
A Model of Spray Tool and a Parameter Optimization Method for Spraying Path Planning 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 1017-1031
作者:  Ruxiang Hua;  Wei Zou;   Guodong Chen;  Hongxuan Ma;  Wei Zhang
Adobe PDF(3022Kb)  |  收藏  |  浏览/下载：135/39  |  提交时间：2023/07/04
Digital camouflage  spraying robot  path optimization  parameter setting  coating thickness uniformity  
A New Diagnosis Method with Few-shot Learning Based on a Class-rebalance Strategy for Scarce Faults in Industrial Processes 期刊论文
Machine Intelligence Research, 2023, 页码: 1-12
作者:  Xu, Xinyao;  Xu, De;  Qin, Fangbo
Adobe PDF(1677Kb)  |  收藏  |  浏览/下载：166/59  |  提交时间：2023/06/21
data augmentation  feature clustering  class-rebalance strategy  few-shot learning  fault diagnosis  
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：129/47  |  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：101/40  |  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：166/0  |  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：194/0  |  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：260/45  |  提交时间：2022/06/06
Data-driven fault diagnosis  Domain generalization  Model-agnostic learning  Rolling bearing  
Periodic impulse signal separation based on resonance-based sparse signal decomposition and its application to the fault detection of rolling bearing 期刊论文
MEASUREMENT & CONTROL, 2020, 卷号: 53, 期号: 3-4, 页码: 601-612
作者:  Juan, Du;  Yan, Lu;  Xian, Tao;  Yu, Zheng;  Chu, Chen Guo
收藏  |  浏览/下载：187/0  |  提交时间：2020/07/06
Resonance-based sparse signal decomposition  Q-factor  empirical mode decomposition  energy operator demodulating  fault detection