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Qinqin Zhu
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Cited by
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Bridging systems theory and data science: A unifying review of dynamic latent variable analytics and process monitoring
SJ Qin, Y Dong, Q Zhu, J Wang, Q Liu
Annual Reviews in Control 50, 29-48, 2020
1042020
Concurrent quality and process monitoring with canonical correlation analysis
Q Zhu, Q Liu, SJ Qin
Journal of process control 60, 95-103, 2017
1002017
Dynamic concurrent kernel CCA for strip-thickness relevant fault diagnosis of continuous annealing processes
Q Liu, Q Zhu, SJ Qin, T Chai
Journal of process control 67, 12-22, 2018
542018
Dynamic latent variable regression for inferential sensor modeling and monitoring
Q Zhu, SJ Qin, Y Dong
Computers & Chemical Engineering 137, 106809, 2020
452020
Supervised diagnosis of quality and process faults with canonical correlation analysis
Q Zhu, SJ Qin
Industrial & Engineering Chemistry Research 58 (26), 11213-11223, 2019
412019
A machine learning approach for modeling and optimization of a CO2 post-combustion capture unit
A Shalaby, A Elkamel, PL Douglas, Q Zhu, QP Zheng
Energy 215, 119113, 2020
402020
Circular genetic operators based RNA genetic algorithm for modeling proton exchange membrane fuel cells
Q Zhu, N Wang, L Zhang
International journal of hydrogen energy 39 (31), 17779-17790, 2014
382014
Machine learning and metaheuristic methods for renewable power forecasting: a recent review
H Alkabbani, A Ahmadian, Q Zhu, A Elkamel
Frontiers in Chemical Engineering 3, 665415, 2021
352021
Fault detection and diagnosis with a novel source-aware autoencoder and deep residual neural network
N Amini, Q Zhu
Neurocomputing 488, 618-633, 2022
322022
Concurrent canonical correlation analysis modeling for quality-relevant monitoring
Q Zhu, Q Liu, SJ Qin
IFAC-PapersOnLine 49 (7), 1044-1049, 2016
302016
An improved air quality index machine learning-based forecasting with multivariate data imputation approach
H Alkabbani, A Ramadan, Q Zhu, A Elkamel
Atmosphere 13 (7), 1144, 2022
212022
A novel multi-mode Bayesian method for the process monitoring and fault diagnosis of coal mills
W Fan, S Ren, Q Zhu, Z Jia, D Bai, F Si
IEEE Access 9, 22914-22926, 2021
212021
Online quality-relevant monitoring with dynamic weighted partial least squares
B Xu, Q Zhu
Industrial & Engineering Chemistry Research 59 (48), 21124-21132, 2020
162020
Quality-relevant fault detection of nonlinear processes based on kernel concurrent canonical correlation analysis
Q Zhu, Q Liu, SJ Qin
2017 American Control Conference (ACC), 5404-5409, 2017
162017
Dynamic probabilistic predictable feature analysis for multivariate temporal process monitoring
W Fan, Q Zhu, S Ren, L Zhang, F Si
IEEE Transactions on Control Systems Technology 30 (6), 2573-2584, 2022
132022
Concurrent monitoring and diagnosis of process and quality faults with canonical correlation analysis
Q Zhu, Q Liu, SJ Qin
IFAC-PapersOnLine 50 (1), 7999-8004, 2017
132017
Latent variable regression for supervised modeling and monitoring
Q Zhu
IEEE/CAA Journal of Automatica Sinica 7 (3), 800-811, 2020
112020
Concurrent auto-regressive latent variable model for dynamic anomaly detection
B Xu, Q Zhu
Journal of Process Control 108, 1-11, 2021
102021
Latent Variable Regression for Process and Quality Modeling
Q Zhu, J Qin
2019 1st International Conference on Industrial Artificial Intelligence (IAI), 2019
82019
Auto-regressive modeling with dynamic weighted canonical correlation analysis
Q Zhu
Journal of Process Control 95, 32-44, 2020
72020
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Articles 1–20