Data-driven soft sensor development based on deep learning technique C Shang, F Yang, D Huang, W Lyu Journal of Process Control 24 (3), 223-233, 2014 | 546 | 2014 |
An overview of industrial alarm systems: Main causes for alarm overloading, research status, and open problems J Wang, F Yang, T Chen, SL Shah IEEE Transactions on Automation Science and Engineering 13 (2), 1045-1061, 2016 | 258 | 2016 |
Concurrent monitoring of operating condition deviations and process dynamics anomalies with slow feature analysis C Shang, F Yang, X Gao, X Huang, JAK Suykens, D Huang AIChE Journal 61 (11), 3666-3682, 2015 | 245 | 2015 |
Direct causality detection via the transfer entropy approach P Duan, F Yang, T Chen, SL Shah IEEE Transactions on Control Systems Technology 21 (6), 2052 - 2066, 2013 | 202 | 2013 |
Slow feature analysis for monitoring and diagnosis of control performance C Shang, B Huang, F Yang, D Huang Journal of Process Control 39, 21-34, 2016 | 161 | 2016 |
Improved correlation analysis and visualization of industrial alarm data F Yang, SL Shah, D Xiao, T Chen ISA Transactions 51, 499–506, 2012 | 149 | 2012 |
Probabilistic slow feature analysis‐based representation learning from massive process data for soft sensor modeling C Shang, B Huang, F Yang, D Huang AIChE Journal 61 (12), 4126-4139, 2015 | 135 | 2015 |
Canonical variate analysis-based contributions for fault identification B Jiang, D Huang, X Zhu, F Yang, RD Braatz Journal of Process Control 26, 17-25, 2015 | 125 | 2015 |
Recursive slow feature analysis for adaptive monitoring of industrial processes C Shang, F Yang, B Huang, D Huang IEEE Transactions on Industrial Electronics 65 (11), 8895-8905, 2018 | 120 | 2018 |
Capturing Connectivity and Causality in Complex Industrial Processes F Yang, P Duan, SL Shah, T Chen Springer, 2014 | 120 | 2014 |
Soft sensor development and applications based on LSTM in deep neural networks W Ke, D Huang, F Yang, Y Jiang 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-6, 2017 | 115 | 2017 |
Signed directed graph based modeling and its validation from process knowledge and process data F Yang, SL Shah, D Xiao International Journal of Applied Mathematics and Computer Science 22 (1), 41-53, 2012 | 106 | 2012 |
Methods for root cause diagnosis of plant-wide oscillations P Duan, T Chen, SL Shah, F Yang AIChE Journal 60 (6), 2019-2034, 2014 | 103 | 2014 |
A dynamic alarm management strategy for chemical process transitions J Zhu, Y Shu, J Zhao, F Yang Journal of Loss Prevention in the Process Industries 30, 207–218, 2014 | 101 | 2014 |
Progress in root cause and fault propagation analysis of large-scale industrial processes F Yang, D Xiao Journal of Control Science and Engineering 2012, 2012 | 96 | 2012 |
Dynamic soft sensor development based on convolutional neural networks K Wang, C Shang, L Liu, Y Jiang, D Huang, F Yang Industrial & Engineering Chemistry Research 58 (26), 11521-11531, 2019 | 90 | 2019 |
Transfer zero-entropy and its application for capturing cause and effect relationship between variables P Duan, F Yang, SL Shah, T Chen IEEE Transactions on Control Systems Technology, 2014 | 83 | 2014 |
SDG 建模及其应用的进展 杨帆, 萧德云 控制理论与应用 22 (5), 767-774, 2005 | 76* | 2005 |
Novel Bayesian framework for dynamic soft sensor based on support vector machine with finite impulse response C Shang, X Gao, F Yang, D Huang IEEE Transactions on Control Systems Technology 22 (4), 1550-1557, 2014 | 73 | 2014 |
Monitoring of operating point and process dynamics via probabilistic slow feature analysis F Guo, C Shang, B Huang, K Wang, F Yang, D Huang Chemometrics and Intelligent Laboratory Systems 151, 115-125, 2016 | 71 | 2016 |