机构

• 自动化研究所 [12]
• 沈阳自动化研究所 [3]
• 合肥物质科学研究院 [2]
• 重庆绿色智能技术研究... [1]
• 西安光学精密机械研究... [1]

采集方式

• OAI收割 [19]

内容类型

• 期刊论文 [18]
• 会议论文 [1]

发表日期

• 2024 [1]
• 2023 [4]
• 2022 [3]
• 2021 [6]
• 2020 [1]
• 2019 [2]
• 更多

学科主题

筛选

浏览/检索结果: 共19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 Knowledge enhanced ensemble method for remaining useful life prediction under variable working conditions 期刊论文  OAI收割 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：22/0  |  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  OAI收割 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：27/0  |  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  OAI收割 Neural Computing and Applications, 2023, 页码: 28 作者:  Wang Huanjie;  Bai Xiwei;  Tan Jie;  Liu Chengbao   |  收藏  |  浏览/下载：13/0  |  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  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：54/0  |  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：24/0  |  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   Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction 期刊论文  OAI收割 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   |  收藏  |  浏览/下载：47/0  |  提交时间：2022/08/01 Convolutional neural network (CNN)  deep learning  position encoding  remaining useful life prediction   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)