|
Selected(0)Clear
Items/Page: Sort: |
| 基于混合特性评价和子空间分解的层次故障监测方法 专利
专利类型: 发明, 专利号: CN112817291A, 公开日期: 2021-05-18,
Inventors: 李帅 ; 周晓锋; 史海波; 潘福成; 李歆; 张宜弛
 Adobe PDF(2302Kb) |  Favorite | View/Download：9/1 | Submit date：2021/05/22 |
| 基于迁移学习和知识蒸馏的加热炉温度预测方法 期刊论文
计算机集成制造系统, 2021, 页码: 1-13
Authors: 翟乃举; 周晓锋; 李帅; 史海波
Adobe PDF(1042Kb) | Favorite | View/Download：81/4 | Submit date：2021/01/17
加热炉 迁移学习 时间卷积网络 知识蒸馏 |
| 基于多块信息提取的AUV资源勘查系统故障检测 期刊论文
控制与决策, 2021, 卷号: 36, 期号: 4, 页码: 790-800
Authors: 郭大权; 杨宗圣; 周晓锋; 李帅; 徐春晖
Adobe PDF(1459Kb) | Favorite | View/Download：171/30 | Submit date：2019/12/14
AUV 主元分析 故障检测 信息提取 多块建模 |
| Temperature prediction of heating furnace based on deep transfer learning 期刊论文
SENSORS, 2020, 卷号: 20, 期号: 17, 页码: 1-27
Authors: Zhai NJ(翟乃举); Zhou XF(周晓锋)
Adobe PDF(6636Kb) | Favorite | View/Download：206/27 | Submit date：2020/09/12
deep learning temporal convolution network transfer learning generative adversarial networks furnace temperature prediction multiple heating zones |
| Fault Detection using Common and Specific Variable Decomposition for Nonlinear Multimode Process 会议论文
Proceedings - 2020 Chinese Automation Congress, CAC 2020, Shanghai, China, November 6-8, 2028
Authors: Li S(李帅); Zhou XF(周晓锋); Shi HB(史海波)
Adobe PDF(998Kb) | Favorite | View/Download：13/1 | Submit date：2021/03/14
fault detection nonlinear multimode process common and specific variable decomposition nonlinearity coefficient PCA-KPCA-SPCA-based modeling |
| Multivariate time series forecast in industrial process based on XGBoost and GRU 会议论文
2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference, Chongqing, China, December 11-13, 2020
Authors: Zhai NJ(翟乃举); Yao, Peifu; Zhou XF(周晓锋)
Adobe PDF(928Kb) | Favorite | View/Download：22/2 | Submit date：2021/02/27
time series multivariate Xgboost model GRU model temperature of the heating furnace |
| Multi-dimensional data visualisation method based on convex-corrected radviz 期刊论文
International Journal of Computer Applications in Technology, 2020, 卷号: 63, 期号: 1-2, 页码: 114-124
Authors: Yin JJ(殷晶晶 ); Shi HB(史海波); Zhou XF(周晓锋); Jin L(金樑); Li S(李帅); Zhang YC(张宜弛)
Adobe PDF(1480Kb) | Favorite | View/Download：85/0 | Submit date：2020/08/01
Radviz visualisation multi-dimensional data convex-corrected |
| A visualization recommendation approach based on machine learning 会议论文
WCSE 2020: 2020 10th International Workshop on Computer Science and Engineering, Shanghai, China, June 19-21, 2020
Authors: Wei SC(魏世超); Li X(李歆); Song PY(宋沛荫); Zhou XF(周晓锋); Zhang YC(张宜弛); Li S(李帅)
Adobe PDF(49013Kb) | Favorite | View/Download：72/4 | Submit date：2020/10/24
visualization recommendation machine Learning classification model |
| 基于E-t-SNE的混合属性数据降维可视化方法 期刊论文
计算机工程与应用, 2020, 卷号: 56, 期号: 6, 页码: 66-72
Authors: 魏世超; 李歆; 张宜弛; 周晓锋; 李帅
Adobe PDF(1725Kb) | Favorite | View/Download：137/21 | Submit date：2019/06/29
t-SNE算法 混合属性数据 降维 可视化 |
| 基于云计算的工业关键应用服务终端化灾备系统及方法 专利
专利类型: 发明, 专利号: CN109962799A, 公开日期: 2019-07-02,
Inventors: 张宜弛; 史海波; 潘福成; 李歆; 陈哲; 周晓锋; 李帅
Adobe PDF(597Kb) | Favorite | View/Download：113/16 | Submit date：2019/07/09 |
