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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
Authors:  Li, Yuan;  Li, Jingwei;  Wang, Huanjie;  Liu, Chengbao;  Tan, Jie
Favorite  |  View/Download:30/0  |  Submit date:2024/02/22
Remaining useful life  Ensemble learning  Attention mechanism  Convolutional neural network  Transfer learning  
Exploring Explicitly Disentangled Features for Domain Generalization 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 11, 页码: 6360-6373
Authors:  Li, Jingwei;  Li, Yuan;  Wang, Huanjie;  Liu, Chengbao;  Tan, Jie
Favorite  |  View/Download:59/0  |  Submit date:2023/12/21
Domain generalization  feature disentanglement  Fourier transform  data augmentation  
Label propagation-based unsupervised domain adaptation for intelligent fault diagnosis 期刊论文
JOURNAL OF INTELLIGENT MANUFACTURING, 2023, 页码: 18
Authors:  Wang, Huanjie;  Li, Yuan;  Bai, Xiwei;  Li, Jingwei;  Tan, Jie;  Liu, Chengbao
Favorite  |  View/Download:74/0  |  Submit date:2023/11/17
Intelligent diagnosis  Rotating machinery  Label propagation  Subpopulation shift  Unsupervised domain adaptation  
Uncertainty Quantification in Remaining Useful Life Prediction under Covariate Shift 期刊论文
Neural Computing and Applications, 2023, 页码: 28
Authors:  Wang Huanjie;  Bai Xiwei;  Tan Jie;  Liu Chengbao
Adobe PDF(5073Kb)  |  Favorite  |  View/Download:118/46  |  Submit date: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
Authors:  Wang Huanjie;  Bai Xiwei;  Tan, Jie
Adobe PDF(952Kb)  |  Favorite  |  View/Download:96/39  |  Submit date:2023/05/31
跨域知识泛化的智能故障诊断方法研究 学位论文
, 2023
Authors:  王焕杰
Adobe PDF(13296Kb)  |  Favorite  |  View/Download:116/6  |  Submit date:2023/05/31
复杂工业设备  数据驱动  跨域故障诊断  迁移学习  故障知识泛化  
A 2-D Long Short-Term Memory Fusion Networks for Bearing Remaining Useful Life Prediction 期刊论文
IEEE SENSORS JOURNAL, 2022, 卷号: 22, 期号: 22, 页码: 21806-21815
Authors:  Li, Yuan;  Wang, Huanjie;  Li, Jingwei;  Tan, Jie
Favorite  |  View/Download:278/0  |  Submit date:2023/03/20
Hidden Markov models  Feature extraction  Predictive models  Sensors  Mathematical models  Data models  Adaptation models  2-D long short-term memory (2D-LSTM)  fault occurrence time (FOT) detection  information fusion unit (IFU)  remaining useful life (RUL) prediction  
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
Authors:  Wang, Sihan;  Wang, Dazhi;  Kong, Deshan;  Li, Wenhui;  Wang, Jiaxing;  Wang, Huanjie
Favorite  |  View/Download:155/0  |  Submit date: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
Authors:  Wang, Sihan;  Wang, Dazhi;  Kong, Deshan;  Li, Wenhui;  Wang, Huanjie;  Pecht, Michael
Favorite  |  View/Download:176/0  |  Submit date: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
Authors:  Wang, Huanjie;  Bai, Xiwei;  Wang, Sihan;  Tan, Jie;  Liu, Chengbao
Adobe PDF(3477Kb)  |  Favorite  |  View/Download:233/43  |  Submit date:2022/06/06
Data-driven fault diagnosis  Domain generalization  Model-agnostic learning  Rolling bearing