Comparative study on ATR-FTIR calibration models for monitoring solution concentration in cooling crystallization F Zhang, T Liu, XZ Wang, J Liu, X Jiang Journal of Crystal Growth 459, 50-55, 2017 | 40 | 2017 |
Quality prediction for multi-grade processes by just-in-time latent variable modeling with integration of common and special features J Liu, T Liu, J Chen Chemical Engineering Science 191, 31-41, 2018 | 39 | 2018 |
Wavelet functional principal component analysis for batch process monitoring J Liu, J Chen, D Wang Chemometrics and Intelligent Laboratory Systems 196, 103897, 2020 | 34 | 2020 |
Sequential local-based Gaussian mixture model for monitoring multiphase batch processes J Liu, T Liu, J Chen Chemical engineering science 181, 101-113, 2018 | 34 | 2018 |
Window-based stepwise sequential phase partition for nonlinear batch process monitoring J Liu, T Liu, J Zhang Industrial & Engineering Chemistry Research 55 (34), 9229-9243, 2016 | 26 | 2016 |
Monitoring framework based on generalized tensor PCA for three-dimensional batch process data J Liu, D Wang, J Chen Industrial & Engineering Chemistry Research 59 (22), 10493-10508, 2020 | 21 | 2020 |
Calibration model building for online monitoring of the granule moisture content during fluidized bed drying by NIR spectroscopy G Mu, T Liu, J Liu, L Xia, C Yu Industrial & Engineering Chemistry Research 58 (16), 6476-6485, 2019 | 17 | 2019 |
Dual-layer feature extraction based soft sensor methods and applications to industrial polyethylene processes J Liu, J Hou, J Chen Computers & Chemical Engineering 154, 107469, 2021 | 16 | 2021 |
Wavelet based calibration model building of NIR spectroscopy for in-situ measurement of granule moisture content during fluidized bed drying J Liu, T Liu, G Mu, J Chen Chemical Engineering Science 226, 115867, 2020 | 13 | 2020 |
Novel common and special features extraction for monitoring multi-grade processes J Liu, T Liu, J Chen, P Qin Journal of Process Control 66, 98-107, 2018 | 12 | 2018 |
Data-driven modeling of product crystal size distribution and optimal input design for batch cooling crystallization processes J Liu, T Liu, J Chen, H Yue, F Zhang, F Sun Journal of Process Control 96, 1-14, 2020 | 11 | 2020 |
A supervised functional Bayesian inference model with transfer-learning for performance enhancement of monitoring target batches with limited data J Liu, GY Hou, W Shao, J Chen Process Safety and Environmental Protection 170, 670-684, 2023 | 10 | 2023 |
Comparative study on wavelet functional partial least squares soft sensor for complex batch processes J Liu, D Sun, J Chen Chemical Engineering Science 254, 117601, 2022 | 8 | 2022 |
Global-local based wavelet functional principal component analysis for fault detection and diagnosis in batch processes J Liu, D Wang, J Chen Chemometrics and Intelligent Laboratory Systems 212, 104279, 2021 | 6 | 2021 |
Just-in-time learning based functional spectral data modeling for in-situ measurement of slurry component concentrations via infrared spectroscopy J Liu, T Liu, G Mu, C Shang IEEE Transactions on Instrumentation and Measurement 72, 1-10, 2023 | 4 | 2023 |
Supervised functional modeling method for long durations of batch processes with limited batch data J Liu, GY Hou, J Chen Chemical Engineering Science 247, 116991, 2022 | 4 | 2022 |
Linear and exponential fault-assistant feature extraction methods for process monitoring J Liu, J Chen, D Wang Control Engineering Practice 109, 104732, 2021 | 4 | 2021 |
Phase partition for nonlinear batch process monitoring J Liu, T Liu, J Zhang IFAC-PapersOnLine 49 (7), 1181-1186, 2016 | 4 | 2016 |
Tensor slow feature analysis and its applications for batch process monitoring J Liu, G Mu, J Chen Computers & Chemical Engineering 173, 108207, 2023 | 3 | 2023 |
Data-driven operation modeling and optimal design for batch cooling crystallization with a case study on β-LGA B Song, T Liu, S Yang, J Liu, J Chen Industrial & Engineering Chemistry Research 61 (51), 18795-18809, 2022 | 2 | 2022 |