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| A Deep Residual PLS for Data-Driven Quality Prediction Modeling in Industrial Process 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 8, 页码: 1777-1785 作者: Xiaofeng Yuan; Weiwei Xu; Yalin Wang; Chunhua Yang; Weihua Gui Adobe PDF(1400Kb)  |  收藏  |  浏览/下载:23/11  |  提交时间:2024/07/16 Deep residual partial least squares (DRPLS) nonlinear function quality prediction soft sensor |
| Augmented Industrial Data-Driven Modeling Under the Curse of Dimensionality 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1445-1461 作者: Xiaoyu Jiang; Xiangyin Kong; Zhiqiang Ge Adobe PDF(25936Kb)  |  收藏  |  浏览/下载:139/45  |  提交时间:2023/05/29 Curse of dimensionality data augmentation data-driven modeling industrial processes machine learning |
| Large-Scale Group Decision Making: A Systematic Review and a Critical Analysis 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 6, 页码: 949-966 作者: Diego García-Zamora; Álvaro Labella; Weiping Ding; Rosa M. Rodríguez; Luis Martínez Adobe PDF(11684Kb)  |  收藏  |  浏览/下载:160/24  |  提交时间:2022/05/30 Challenges large-scale consensus models large-scale group decision making (LSGDM) systematic review |
| Kernel Generalization of Multi-Rate Probabilistic Principal Component Analysis for Fault Detection in Nonlinear Process 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 8, 页码: 1465-1476 作者: Donglei Zheng; Le Zhou; Zhihuan Song Adobe PDF(1388Kb)  |  收藏  |  浏览/下载:193/77  |  提交时间:2021/06/11 Fault detection kernel method multi-rate process probability principal component analysis (PPCA) |
| A Novel MDFA-MKECA Method With Application to Industrial Batch Process Monitoring 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 5, 页码: 1438-1446 作者: Yinghua Yang; Xiang Shi; Xiaozhi Liu; Hongru Li 浏览  |  Adobe PDF(1848Kb)  |  收藏  |  浏览/下载:173/53  |  提交时间:2021/03/11 MDFA MKECA process monitoring reheating furnace statistical features thermodynamics entropy feature |
| Latent Variable Regression for Supervised Modeling and Monitoring 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 3, 页码: 800-811 作者: Qinqin Zhu 浏览  |  Adobe PDF(3023Kb)  |  收藏  |  浏览/下载:119/48  |  提交时间:2021/03/11 Data analytics inferential monitoring latent variable regression regularization |
| Locally Linear Back-propagation Based Contribution for Nonlinear Process Fault Diagnosis 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 3, 页码: 764-775 作者: Jinchuan Qian; Li Jiang; Zhihuan Song 浏览  |  Adobe PDF(1474Kb)  |  收藏  |  浏览/下载:182/50  |  提交时间:2021/03/11 Auto-encoder (AE) deep learning fault diagnosis locally linear model nonlinear process reconstruction based contribution (RBC) |
| Flue Gas Monitoring System With Empirically-Trained Dictionary 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 2, 页码: 606-616 作者: Hui Cao; Yajie Yu; Panpan Zhang; Yanxia Wang 浏览  |  Adobe PDF(16993Kb)  |  收藏  |  浏览/下载:180/38  |  提交时间:2021/03/11 Dictionary learning empirically-trained dictionaty (ETD) flue gas monitoring system quantitative analysis |
| Data-Driven Based Fault Prognosis for Industrial Systems: A Concise Overview 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 2, 页码: 330-345 作者: Kai Zhong; Min Han; Bing Han 浏览  |  Adobe PDF(1354Kb)  |  收藏  |  浏览/下载:148/50  |  提交时间:2021/03/11 Data-driven fault prognosis feature extraction industrial systems |