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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：29/0  |  提交时间：2024/02/22
Remaining useful life  Ensemble learning  Attention mechanism  Convolutional neural network  Transfer learning  
Aero-Engine Remaining Useful Life Estimation Based on CAE-TCN Neural Networks 期刊论文
APPLIED SCIENCES-BASEL, 2023, 卷号: 13, 期号: 1, 页码: 15
作者:  Ren, Guanghao;  Wang, Yun;  Shi, Zhenyun;  Zhang, Guigang;  Jin, Feng;  Wang, Jian
收藏  |  浏览/下载：206/0  |  提交时间：2023/02/22
remaining useful life estimation  aero-engine  convolutional autoencoder  temporal convolutional network  
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：118/46  |  提交时间：2023/06/19
Remaining useful life  Uncertainty quantification  Bayesian convolutional neural network  
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
作者:  Li, Yuan;  Wang, Huanjie;  Li, Jingwei;  Tan, Jie
收藏  |  浏览/下载：275/0  |  提交时间：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  
Deep & Attention : A Self-Attention based Neural Network for Remaining Useful Lifetime Predictions 会议论文
, Budapest, Hungary, 2021-2
作者:  Yuanjun, Liu;  Xingang, Wang
Adobe PDF(1820Kb)  |  收藏  |  浏览/下载：176/31  |  提交时间：2021/07/01
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：94/38  |  提交时间：2023/05/31
Lithium-Ion Cell Screening W th Convolutional Neural Networks Based on Two-Step Time-Series Clustering and Hybrid Resampling for Imbalanced Data 期刊论文
IEEE ACCESS, 2018, 卷号: 6, 期号: 无, 页码: 59001-59014
作者:  Liu, Chengbao;  Tan, Jie;  Shi, Heyuan;  Wang, Xuelei
Adobe PDF(19745Kb)  |  收藏  |  浏览/下载：351/68  |  提交时间：2019/01/08
Lithium-ion cell screening  time-series clustering  resampling  convolutional neural networks  
Inter and intra-hemispheric structural imaging markers predict depression relapse after electroconvulsive therapy: a multisite study 期刊论文
TRANSLATIONAL PSYCHIATRY, 2017, 卷号: 7, 期号: 12, 页码: 1270
作者:  Wade, Benjamin S. C.;  Sui, Jing;  Hellemann, Gerhard;  Leaver, Amber M.;  Espinoza, Randall T.;  Woods, Roger P.;  Abbott, Christopher C.;  Joshi, Shantanu H.;  Narr, Katherine L.
浏览  |  Adobe PDF(783Kb)  |  收藏  |  浏览/下载：384/70  |  提交时间：2018/01/08
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Scanning the Issue and Beyond: The Endless ITS Frontier in CSP Spaces 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 卷号: 16, 期号: 4, 页码: 1610-1618
作者:  Wang, Fei-Yue
浏览  |  Adobe PDF(105Kb)  |  收藏  |  浏览/下载：223/45  |  提交时间：2015/09/23
Csp Spaces  Its