| A distributed canonical correlation analysis-based fault detection method for plant-wide process monitoring Z Chen, Y Cao, SX Ding, K Zhang, T Koenings, T Peng, C Yang, W Gui IEEE Transactions on Industrial Informatics 15 (5), 2710-2720, 2019 | 128 | 2019 |
| Hierarchical hybrid distributed PCA for plant-wide monitoring of chemical processes Y Cao, X Yuan, Y Wang, W Gui Control Engineering Practice 111, 104784, 2021 | 42 | 2021 |
| Improved CCM for variable causality detection in complex systems Y Wang, F Hu, Y Cao, X Yuan, C Yang Control Engineering Practice 83, 67-82, 2019 | 23 | 2019 |
| A novel sliding window PCA-IPF based steady-state detection framework and its industrial application Y Wang, K Sun, X Yuan, Y Cao, L Li, HN Koivo IEEE Access 6, 20995-21004, 2018 | 23 | 2018 |
| Multimodal process monitoring based on variational Bayesian PCA and Kullback-Leibler divergence between mixture models Y Cao, NM Jan, B Huang, M Fang, Y Wang, W Gui Chemometrics and Intelligent Laboratory Systems 210, 104230, 2021 | 20 | 2021 |
| An improved Bayesian network method for fault diagnosis Y Wang, H Yang, X Yuan, Y Cao IFAC-PapersOnLine 51 (21), 341-346, 2018 | 16 | 2018 |
| VAE-based interpretable latent variable model for process monitoring Z Pan, Y Wang, Y Cao, W Gui IEEE Transactions on Neural Networks and Learning Systems 35 (5), 6075-6088, 2023 | 10 | 2023 |
| No-delay multimodal process monitoring using Kullback-Leibler divergence-based statistics in probabilistic mixture models Y Cao, NM Jan, B Huang, Y Wang, Z Pan, W Gui IEEE Transactions on Automation Science and Engineering 20 (1), 167-178, 2022 | 9 | 2022 |
| 部分子块通讯的分布式 PCA 厂级工业过程监测方法 曹跃， 陈志文， 袁小锋， 王雅琳， 桂卫华 控制与决策 35 (6), 1281-1290, 2020 | 2 | 2020 |
| Canopy-Kmeans 聚类和组合优化的铁矿预配料智能调度 曹跃， 王雅琳， 何海明， 杨卜菘， 桂卫华 控制理论与应用 34 (7), 947-955, 2017 | 2 | 2017 |
| 工业数据驱动的加氢裂化装置多工况切换过渡状态检测 曹跃， 余冲， 李智， 杨明磊 化工学报, 1-17, 0 | | |
Xiaofeng YuanCentral South UniversityVerified email at csu.edu.cn
