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CASIA OpenIR
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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
Adobe PDF(5073Kb)  |  收藏  |  浏览/下载：155/57  |  提交时间：2023/06/19
Remaining useful life  Uncertainty quantification  Bayesian convolutional neural network  
Fault Diagnosis and Knowledge Extraction Using Fast Logical Analysis of Data with Multiple Rules Discovery Ability 会议论文
, Beijing, China, November 1-4, 2018
作者:  Bai, Xiwei;  Wang, Xuelei;  Tan, Jie
Adobe PDF(286Kb)  |  收藏  |  浏览/下载：250/60  |  提交时间：2020/06/12
Integrated modeling of coking flue gas indices based on mechanism model and improved neural network 期刊论文
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2019, 卷号: 41, 期号: 1, 页码: 85-96
作者:  Li, Yaning;  Wang, Xuelei;  Tan, Jie
收藏  |  浏览/下载：279/0  |  提交时间：2019/07/12
Coking  process control  neural network (NN)  mechanism model  integrated modeling  
Intelligent integrated coking flue gas indices prediction 会议论文
, Kanazawa, 26-28 June 2017
作者:  Li YN(李亚宁);  Wang XL;  Tan J;  Liu CB;  Bai XW
Adobe PDF(704Kb)  |  收藏  |  浏览/下载：319/80  |  提交时间：2018/06/10
Coking Flue Gas  Mechanism Model  Neural Networks  Integrated Modeling  
Modeling and Feedforwad Control of Flue Gas Denitration in Coking Reversing Process 会议论文
, Siem Reap, 18-20 June, 2017
作者:  Li YN(李亚宁);  Wang XL;  Tan J
Adobe PDF(499Kb)  |  收藏  |  浏览/下载：307/83  |  提交时间：2018/06/10
Process Control  Dynamic Modeling  Coking  Revising Process  Denitration  
Modeling of Integrated Processes for Coking Flue Gas Desulfurization and Denitrification Based on RBFNN 会议论文
, Okayama,  June 26-29, 2016
作者:  Li YN(李亚宁);  Wang XL;  Tan J
Adobe PDF(537Kb)  |  收藏  |  浏览/下载：355/96  |  提交时间：2018/06/10
Desulfurization And Denitrification  Kmeans Clustering  Rbfnn