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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
Authors:  Qing Xu;  Min Wu;  Edwin Khoo;  Zhenghua Chen;  Xiaoli Li
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Deep learning  early prediction  lithium-ion battery  remaining useful life (RUL)  
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
Authors:  Xiang Li;  Yixiao Xu;  Naipeng Li;  Bin Yang;  Yaguo Lei
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Adversarial training  data fusion  deep learning  remaining useful life (RUL) prediction  sensor malfunction  
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
Authors:  Ren, Guanghao;  Wang, Yun;  Shi, Zhenyun;  Zhang, Guigang;  Jin, Feng;  Wang, Jian
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remaining useful life estimation  aero-engine  convolutional autoencoder  temporal convolutional 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
Authors:  Li, Yuan;  Wang, Huanjie;  Li, Jingwei;  Tan, Jie
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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  
Towards Long Lifetime Battery: AI-Based Manufacturing and Management 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 7, 页码: 1139-1165
Authors:  Kailong Liu;  Zhongbao Wei;  Chenghui Zhang;  Yunlong Shang;  Remus Teodorescu;  Qing-Long Han
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Artificial intelligence  battery health management  battery life diagnostic  battery manufacturing  smart battery  
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
Authors:  Ruibing Jin;  Min Wu;  Keyu Wu;  Kaizhou Gao;  Zhenghua Chen;  Xiaoli Li
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Convolutional neural network (CNN)  deep learning  position encoding  remaining useful life prediction  
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
Authors:  Zhenan Pang;  Xiaosheng Si;  Changhua Hu;  Zhengxin Zhang
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Expectation-maximization (EM)  hidden degradation state  Kalman filter (KF)  remaining useful life (RUL)  unit-to-unit variability  
无菌灌装生产线智能化系统的研究与实现 学位论文
工程硕士, 中国科学院自动化研究所: 中国科学院自动化研究所, 2021
Authors:  刘元俊
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故障预测与健康管理  工业大数据  深度学习  注意力机制  分布式系统  剩余使用寿命预测  
Deep & Attention : A Self-Attention based Neural Network for Remaining Useful Lifetime Predictions 会议论文
, Budapest, Hungary, 2021-2
Authors:  Yuanjun, Liu;  Xingang, Wang
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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
Authors:  Chuang Chen;  Ningyun Lu;  Bin Jiang;  Cunsong Wang
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Long short-term memory (LSTM) network  predictive maintenance  remaining useful life (RUL) estimation  risk-averse adaptation  support vector regression (SVR)