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Feifan Shen
Feifan Shen
NingboTech University
Verified email at nbt.edu.cn
Title
Cited by
Cited by
Year
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
392015
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
242019
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
212021
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
202020
Improved mahalanobis distance based JITL-LSTM soft sensor for multiphase batch processes
J Zheng, F Shen, L Ye
IEEE Access 9, 72172-72182, 2021
162021
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
152015
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
122022
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
112013
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
82023
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
72022
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
62023
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
62020
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
52020
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
52019
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
52019
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
52018
JITL based local monitoring method for transitions of multiphase batch processes
F Shen, Z Song, Z Ge
2014 American Control Conference, 1957-1962, 2014
52014
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
22023
Dynamic modeling and sensitivity analysis for an mea-based co2 capture absorber
H Guan, L Ye, Y Wang, F Shen, Y He
Intelligent Automation & Soft Computing 36 (3), 3535-3550, 2023
22023
Flipped classroom based on Internet plus education and smart learning
F Shen, L Ye, X Ma, W Zhong
2018 2nd International Conference on Education, Economics and Management …, 2018
22018
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