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Jingxiang Liu
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引用次数
引用次数
年份
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
402017
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
392018
Wavelet functional principal component analysis for batch process monitoring
J Liu, J Chen, D Wang
Chemometrics and Intelligent Laboratory Systems 196, 103897, 2020
342020
Sequential local-based Gaussian mixture model for monitoring multiphase batch processes
J Liu, T Liu, J Chen
Chemical engineering science 181, 101-113, 2018
342018
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
262016
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
212020
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
172019
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
162021
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
132020
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
122018
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
112020
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
102023
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
82022
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
62021
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
42023
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
42022
Linear and exponential fault-assistant feature extraction methods for process monitoring
J Liu, J Chen, D Wang
Control Engineering Practice 109, 104732, 2021
42021
Phase partition for nonlinear batch process monitoring
J Liu, T Liu, J Zhang
IFAC-PapersOnLine 49 (7), 1181-1186, 2016
42016
Tensor slow feature analysis and its applications for batch process monitoring
J Liu, G Mu, J Chen
Computers & Chemical Engineering 173, 108207, 2023
32023
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
22022
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