受强制性开放获取政策约束的文章 - Qingchao Jiang了解详情
无法在其他位置公开访问的文章：44 篇
Review and perspectives of data-driven distributed monitoring for industrial plant-wide processes
Q Jiang, X Yan, B Huang
Industrial & Engineering Chemistry Research 58 (29), 12899-12912, 2019
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada, 国家自然科学基 …
Parallel PCA–KPCA for nonlinear process monitoring
Q Jiang, X Yan
Control Engineering Practice 80, 17-25, 2018
强制性开放获取政策： 国家自然科学基金委员会
Data-driven distributed local fault detection for large-scale processes based on the GA-regularized canonical correlation analysis
Q Jiang, SX Ding, Y Wang, X Yan
IEEE Transactions on Industrial Electronics 64 (10), 8148-8157, 2017
强制性开放获取政策： 国家自然科学基金委员会
Data-driven batch-end quality modeling and monitoring based on optimized sparse partial least squares
Q Jiang, X Yan, H Yi, F Gao
IEEE Transactions on Industrial Electronics 67 (5), 4098-4107, 2019
强制性开放获取政策： 国家自然科学基金委员会, Research Grants Council, Hong Kong
Nonlinear plant-wide process monitoring using MI-spectral clustering and Bayesian inference-based multiblock KPCA
Q Jiang, X Yan
Journal of Process Control 32, 38-50, 2015
强制性开放获取政策： 国家自然科学基金委员会
Monitoring multi-mode plant-wide processes by using mutual information-based multi-block PCA, joint probability, and Bayesian inference
Q Jiang, X Yan
Chemometrics and intelligent laboratory systems 136, 121-137, 2014
强制性开放获取政策： 国家自然科学基金委员会
Local–global modeling and distributed computing framework for nonlinear plant-wide process monitoring with industrial big data
Q Jiang, S Yan, H Cheng, X Yan
IEEE transactions on neural networks and learning systems 32 (8), 3355-3365, 2020
强制性开放获取政策： 国家自然科学基金委员会
GMM and optimal principal components-based Bayesian method for multimode fault diagnosis
Q Jiang, B Huang, X Yan
Computers & Chemical Engineering 84, 338-349, 2016
强制性开放获取政策： 国家自然科学基金委员会
Multimode process monitoring using variational Bayesian inference and canonical correlation analysis
Q Jiang, X Yan
IEEE Transactions on Automation Science and Engineering 16 (4), 1814-1824, 2019
强制性开放获取政策： 国家自然科学基金委员会
Learning deep correlated representations for nonlinear process monitoring
Q Jiang, X Yan
IEEE Transactions on Industrial Informatics 15 (12), 6200-6209, 2018
强制性开放获取政策： 国家自然科学基金委员会
Data-Driven Two-Dimensional Deep Correlated Representation Learning for Nonlinear Batch Process Monitoring
Q Jiang, S Yan, X Yan, H Yi, F Gao
IEEE Transactions on Industrial Informatics 16 (4), 2839-2848, 2019
强制性开放获取政策： 国家自然科学基金委员会
Multivariate statistical monitoring of key operation units of batch processes based on time-slice CCA
Q Jiang, F Gao, H Yi, X Yan
IEEE Transactions on Control Systems Technology 27 (3), 1368-1375, 2018
强制性开放获取政策： 国家自然科学基金委员会
Distributed-ensemble stacked autoencoder model for non-linear process monitoring
Z Li, L Tian, Q Jiang, X Yan
Information Sciences 542, 302-316, 2020
强制性开放获取政策： 国家自然科学基金委员会
Multiobjective two-dimensional CCA-based monitoring for successive batch processes with industrial injection molding application
Q Jiang, F Gao, X Yan, H Yi
IEEE Transactions on Industrial Electronics 66 (5), 3825-3834, 2018
强制性开放获取政策： 国家自然科学基金委员会
PCA-ICA integrated with Bayesian method for non-Gaussian fault diagnosis
Q Jiang, X Yan, J Li
Industrial & Engineering Chemistry Research 55 (17), 4979-4986, 2016
强制性开放获取政策： 国家自然科学基金委员会
Data-Driven Communication Efficient Distributed Monitoring for Multiunit Industrial Plant-Wide Processes
Q Jiang, S Chen, X Yan, M Kano, B Huang
IEEE Transactions on Automation Science and Engineering, 2021
强制性开放获取政策： 国家自然科学基金委员会
Deep relevant representation learning for soft sensing
X Yan, J Wang, Q Jiang
Information Sciences 514, 263-274, 2020
强制性开放获取政策： 国家自然科学基金委员会
Deep Discriminative Representation Learning for Nonlinear Process Fault Detection
Q Jiang, X Yan, B Huang
IEEE Transactions on Automation Science and Engineering, 2019
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada, 国家自然科学基 …
Generalized Dice's coefficient‐based multi‐block principal component analysis with Bayesian inference for plant‐wide process monitoring
B Wang, X Yan, Q Jiang, Z Lv
Journal of Chemometrics 29 (3), 165-178, 2015
强制性开放获取政策： 国家自然科学基金委员会
Data-driven Soft Sensing for Batch Processes Using Neural Network-based Deep Quality-Relevant Representation Learning
Q Jiang, Z Wang, S Yan, Z Cao
IEEE Transactions on Artificial Intelligence, 2022
强制性开放获取政策： 国家自然科学基金委员会
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