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北京航空航天大学 [16]
西安交通大学 [12]
自动化研究所 [12]
沈阳自动化研究所 [11]
山东大学 [5]
清华大学 [2]
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期刊论文 [59]
会议论文 [10]
学位论文 [1]
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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:1/0
  |  
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
收藏
  |  
浏览/下载:10/0
  |  
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
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  |  
浏览/下载:5/0
  |  
提交时间:2023/06/19
Remaining useful life
Uncertainty quantification
Bayesian convolutional neural network
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:21/0
  |  
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
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  |  
浏览/下载:22/0
  |  
提交时间:2023/01/03
Deep learning
early prediction
lithium-ion battery
remaining useful life (RUL)
A remaining useful life prediction method based on time–frequency images of the mechanical vibration signals
期刊论文
Measurement: Journal of the International Measurement Confederation, 2022, 卷号: 202
作者:
Du, Xianjun
;
Jia, Wenchao
;
Yu, Ping
;
Shi, Yaoke
;
Cheng, Shengyi
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  |  
浏览/下载:29/0
  |  
提交时间:2022/09/22
Convolution
Forecasting
Preventive maintenance
Rotating machinery
Vibrations (mechanical)
Wavelet transforms
Attention mechanisms
Continuous Wavelet Transform
Convolutional neural network
Degradation trend
Feature map
Remaining useful life predictions
Rolling bearings
Spectral feature
Time frequency
Time–frequency spectral feature map
Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 8, 页码: 1427-1439
作者:
Ruibing Jin
;
Min Wu
;
Keyu Wu
;
Kaizhou Gao
;
Zhenghua Chen
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  |  
浏览/下载:16/0
  |  
提交时间:2022/08/01
Convolutional neural network (CNN)
deep learning
position encoding
remaining useful life prediction
Remaining Useful Life prediction of rolling bearings based on risk assessment and degradation state coefficient
期刊论文
ISA Transactions, 2022
作者:
Li, Qiang
;
Yan, Changfeng
;
Chen, Guangyi
;
Wang, Huibin
;
Li, Hongkun
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2022/07/20
Condition based maintenance
Economic and social effects
Forecasting
Frequency domain analysis
Genetic algorithms
Health
Health risks
Roller bearings
Singular value decomposition
Degradation state
Degradation state coefficient
Genetic algorithm-support vector regression
Health indicators
Mode decomposition
Modified health indicator
Remaining useful lives
Risks assessments
Support vector regressions
Variational mode decomposition-singular value decomposition
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
收藏
  |  
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
大规模锂电池剩余寿命预测算法研究
学位论文
沈阳: 中国科学院沈阳自动化研究所, 2021
作者:
冀超骥
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2021/06/12
锂电池
剩余寿命预测
粒子滤波
无迹粒子滤波
改进高斯粒子滤波
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