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CASIA OpenIR

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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：298/0  |  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  
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
Adobe PDF(6437Kb)  |  收藏  |  浏览/下载：192/67  |  提交时间：2023/01/03
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
作者:  Xiang Li;  Yixiao Xu;  Naipeng Li;  Bin Yang;  Yaguo Lei
Adobe PDF(2608Kb)  |  收藏  |  浏览/下载：168/48  |  提交时间：2023/01/03
Adversarial training  data fusion  deep learning  remaining useful life (RUL) prediction  sensor malfunction  
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
Adobe PDF(2264Kb)  |  收藏  |  浏览/下载：178/55  |  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 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
Adobe PDF(1378Kb)  |  收藏  |  浏览/下载：134/43  |  提交时间：2021/09/03
Degradation process  fault effects  fault occurrence moment (FOM)  performance characteristic (PC)  remaining useful life (RUL)  
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;  Xu-Dong Meng;  Hua-Liang Wei;  Liang Chen;  Bi-Liang Lu;  Zhen-Heng Wang;  Lei Chen
Adobe PDF(4710Kb)  |  收藏  |  浏览/下载：119/50  |  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)  
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
Adobe PDF(1807Kb)  |  收藏  |  浏览/下载：126/47  |  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
Adobe PDF(1855Kb)  |  收藏  |  浏览/下载：153/54  |  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)