Nonlocal structure constrained neighborhood preserving embedding model and its application for fault detection A Miao, Z Ge, Z Song, F Shen Chemometrics and Intelligent Laboratory Systems 142, 184-196, 2015 | 39 | 2015 |
Economic operation of a fluid catalytic cracking process using self-optimizing control and reconfiguration H Guan, L Ye, F Shen, Z Song Journal of the Taiwan Institute of Chemical Engineers 96, 104-113, 2019 | 24 | 2019 |
Dynamic process monitoring based on variational Bayesian canonical variate analysis J Yu, L Ye, L Zhou, Z Yang, F Shen, Z Song IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (4), 2412-2422, 2021 | 22 | 2021 |
LSTM soft sensor development of batch processes with multivariate trajectory-based ensemble just-in-time learning F Shen, J Zheng, L Ye, X Ma IEEE Access 8, 73855-73864, 2020 | 21 | 2020 |
Improved mahalanobis distance based JITL-LSTM soft sensor for multiphase batch processes J Zheng, F Shen, L Ye IEEE Access 9, 72172-72182, 2021 | 16 | 2021 |
Multivariate trajectory-based local monitoring method for multiphase batch processes F Shen, Z Ge, Z Song Industrial & engineering chemistry research 54 (4), 1313-1325, 2015 | 15 | 2015 |
Nonlinear dynamic soft sensor development with a supervised hybrid CNN-LSTM network for industrial processes J Zheng, L Ma, Y Wu, L Ye, F Shen ACS omega 7 (19), 16653-16664, 2022 | 13 | 2022 |
A Multi-Step Sequence-to-Sequence Model with Attention LSTM Neural Networks for Industrial Soft Sensor Application L Ma, Y Zhao, B Wang, F Shen IEEE Sensors Journal, 2023 | 11 | 2023 |
Improved PCA-SVDD based monitoring method for nonlinear process F Shen, Z Song, L Zhou 2013 25th Chinese Control and Decision Conference (CCDC), 4330-4336, 2013 | 11 | 2013 |
Multiscale dynamic feature learning for quality prediction based on hierarchical sequential generative network X Yuan, L Huang, L Li, K Wang, Y Wang, L Ye, F Shen IEEE Sensors Journal, 2023 | 8 | 2023 |
Design of hybrid batch-to-batch and within-batch self-optimizing control structures for batch processes L Ye, F Shen, H Guan Journal of Process Control 113, 1-17, 2022 | 7 | 2022 |
An active approach to space-reduced NCO tracking and output feedback optimizing control for batch processes with parametric uncertainty L Ye, F Shen, X Ma, H Zhang Journal of Process Control 89, 30-44, 2020 | 6 | 2020 |
Quality-relevant monitoring of batch processes based on stochastic programming with multiple output modes F Shen, J Zheng, L Ye, D Gu Processes 8 (2), 164, 2020 | 5 | 2020 |
Measurement of crude oil water content based on cross-correlation method D Gao, M Xiushui, L Ye, F Shen, C Qiu IOP Conference Series: Earth and Environmental Science 332 (2), 022033, 2019 | 5 | 2019 |
Smart classroom: An improved smart learning paradigm for college education F Shen, L Ye, X Ma, W Zhong 3rd International Seminar on Education Innovation and Economic Management …, 2019 | 5 | 2019 |
On an aspect of implementing real-time optimization: Establishing the suspending and activating conditions incorporating process monitoring L Ye, F Shen, Z Ge, Z Song IFAC-PapersOnLine 51 (18), 79-84, 2018 | 5 | 2018 |
JITL based local monitoring method for transitions of multiphase batch processes F Shen, Z Song, Z Ge 2014 American Control Conference, 1957-1962, 2014 | 5 | 2014 |
Attention-Based Interval Aided Networks for Data Modeling of Heterogeneous Sampling Sequences With Missing Values in Process Industry X Yuan, N Xu, L Ye, K Wang, F Shen, Y Wang, C Yang, W Gui IEEE Transactions on Industrial Informatics, 2023 | 4 | 2023 |
Variable correlation analysis-based convolutional neural network for far topological feature extraction and industrial predictive modeling X Yuan, Y Wang, C Wang, L Ye, K Wang, Y Wang, C Yang, W Gui, F Shen IEEE Transactions on Instrumentation and Measurement, 2024 | 3 | 2024 |
Quality prediction modeling for industrial processes using multiscale attention-based convolutional neural network X Yuan, L Huang, L Ye, Y Wang, K Wang, C Yang, W Gui, F Shen IEEE Transactions on Cybernetics, 2024 | 2 | 2024 |