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北京航空航天大学 [11]
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期刊论文 [33]
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Remaining Useful Life Prediction With Partial Sensor Malfunctions Using Deep Adversarial Networks
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 121-134
作者:
Xiang Li
;
Yixiao Xu
;
Naipeng Li
;
Bin Yang
;
Yaguo Lei
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2023/01/03
Adversarial training
data fusion
deep learning
remaining useful life (RUL) prediction
sensor malfunction
A Hybrid Ensemble Deep Learning Approach for Early Prediction of Battery Remaining Useful Life
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 177-187
作者:
Qing Xu
;
Min Wu
;
Edwin Khoo
;
Zhenghua Chen
;
Xiaoli Li
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2023/01/03
Deep learning
early prediction
lithium-ion battery
remaining useful life (RUL)
An Age-Dependent and State-Dependent Adaptive Prognostic Approach for Hidden Nonlinear Degrading System
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 5, 页码: 907-921
作者:
Zhenan Pang
;
Xiaosheng Si
;
Changhua Hu
;
Zhengxin Zhang
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  |  
浏览/下载:45/0
  |  
提交时间:2022/04/24
Expectation-maximization (EM)
hidden degradation state
Kalman filter (KF)
remaining useful life (RUL)
unit-to-unit variability
A Switching Hidden Semi-Markov Model for Degradation Process and Its Application to Time-Varying Tool Wear Monitoring
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 卷号: 17
作者:
Liu, Tongshun
;
Zhu, Kunpeng
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2021/03/15
Condition monitoring
degradation process
remaining useful life (RUL)
switching hidden semi-Markov model (SHSMM)
tool wear monitoring (TWM)
Remaining Useful Life Prediction for a Roller in a Hot Strip Mill Based on Deep Recurrent Neural Networks
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 7, 页码: 1345-1354
作者:
Ruihua Jiao
;
Kaixiang Peng
;
Jie Dong
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  |  
浏览/下载:27/0
  |  
提交时间:2021/06/11
Hot strip mill
prognostics and health management (PHM)
recurrent neural network (RNN)
remaining useful life (RUL)
roller management
A Risk-Averse Remaining Useful Life Estimation for Predictive Maintenance
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 2, 页码: 412-422
作者:
Chuang Chen
;
Ningyun Lu
;
Bin Jiang
;
Cunsong Wang
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  |  
浏览/下载:49/0
  |  
提交时间:2021/04/09
Long short-term memory (LSTM) network
predictive maintenance
remaining useful life (RUL) estimation
risk-averse adaptation
support vector regression (SVR)
A Regularized LSTM Method for Predicting Remaining Useful Life of Rolling Bearings
期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 581-593
作者:
Zhao-Hua Liu
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  |  
浏览/下载:13/0
  |  
提交时间:2021/07/20
Deep learning
fault diagnosis
fault prognosis
long and short time memory network (LSTM)
rolling bearing
rotating machinery
regularization
remaining useful life prediction (RUL)
recurrent neural network (RNN)
A Novel Product Remaining Useful Life Prediction Approach Considering Fault Effects
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 11, 页码: 1762-1773
作者:
Jingdong Lin
;
Zheng Lin
;
Guobo Liao
;
Hongpeng Yin
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  |  
浏览/下载:24/0
  |  
提交时间:2021/09/03
Degradation process
fault effects
fault occurrence moment (FOM)
performance characteristic (PC)
remaining useful life (RUL)
Novel direct remaining useful life estimation of aero-engines with randomly assigned hidden nodes
期刊论文
NEURAL COMPUTING & APPLICATIONS, 2020, 卷号: 32, 期号: 18(SI), 页码: 14347-14358
作者:
Bai, Jian-Ming
;
Zhao, Guang-She
;
Rong, Hai-Jun
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2020/11/02
Remaining useful life (RUL)
Aero-engines
Extreme learning machine (ELM)
Switching State-Space Degradation Model With Recursive Filter/Smoother for Prognostics of Remaining Useful Life
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 卷号: 15, 页码: 822-832
作者:
Peng, Yizhen
;
Wang, Yu
;
Zi, Yanyang
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  |  
浏览/下载:14/0
  |  
提交时间:2019/11/19
remaining useful life (RUL)
switching state-space model
prognostics
rao-blackwellized particle filter (RBPF)
Degradation
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