机构

• 自动化研究所 [8]
• 合肥物质科学研究院 [2]
• 西安光学精密机械研究... [1]

采集方式

• OAI收割 [11]

内容类型

• 期刊论文 [11]

发表日期

• 2023 [2]
• 2022 [2]
• 2021 [5]
• 2020 [1]
• 2018 [1]

学科主题

筛选

浏览/检索结果: 共11条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Remaining Useful Life Prediction With Partial Sensor Malfunctions Using Deep Adversarial Networks 期刊论文  OAI收割 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：31/0  |  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  OAI收割 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：55/0  |  提交时间：2023/01/03 Deep learning  early prediction  lithium-ion battery  remaining useful life (RUL)   A 2-D Long Short-Term Memory Fusion Networks for Bearing Remaining Useful Life Prediction 期刊论文  OAI收割 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：25/0  |  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   An Age-Dependent and State-Dependent Adaptive Prognostic Approach for Hidden Nonlinear Degrading System 期刊论文  OAI收割 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：34/0  |  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  OAI收割 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 卷号: 17 作者:  Liu, Tongshun;  Zhu, Kunpeng   |  收藏  |  浏览/下载：37/0  |  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)   A Regularized LSTM Method for Predicting Remaining Useful Life of Rolling Bearings 期刊论文  OAI收割 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 581-593 作者:  Zhao-Hua Liu;  Liang Chen   |  收藏  |  浏览/下载：48/0  |  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 Risk-Averse Remaining Useful Life Estimation for Predictive Maintenance 期刊论文  OAI收割 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   |  收藏  |  浏览/下载：42/0  |  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)   Remaining Useful Life Prediction for a Roller in a Hot Strip Mill Based on Deep Recurrent Neural Networks 期刊论文  OAI收割 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   |  收藏  |  浏览/下载：38/0  |  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 Novel Product Remaining Useful Life Prediction Approach Considering Fault Effects 期刊论文  OAI收割 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   |  收藏  |  浏览/下载：29/0  |  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  OAI收割 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：33/0  |  提交时间：2020/11/02 Remaining useful life (RUL)  Aero-engines  Extreme learning machine (ELM)