Qingchao Jiang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 32

Top Topics

Variable Selection

Fault Detection

Variational Bayesian

Industrial Processes

Top Venues

IEEE Trans. Ind. Electron.

IEEE Trans. Ind. Informatics

IEEE Trans Autom. Sci. Eng.

Publications

Qingchao Jiang, Wenjing Wang, Shutian Chen, Chunjian Pan, Weimin Zhong
Hierarchical Fault Root Cause Identification in Plant-Wide Processes Using Distributed Direct Causality Analysis. IEEE Trans. Ind. Informatics 20 (3) (2024)
Xinyue Cheng, Zhenhua Yu, Guan Wang, Qingchao Jiang, Zhixing Cao
Semi-supervised soft sensor method for fermentation processes based on physical monotonicity and variational autoencoders. Eng. Appl. Artif. Intell. 137 (2024)
Qingchao Jiang, Jiashi Jiang, Wenjing Wang, Chunjian Pan, Weimin Zhong
Partial Cross Mapping Based on Sparse Variable Selection for Direct Fault Root Cause Diagnosis for Industrial Processes. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Zhongyi Zhang, Xueting Wang, Guan Wang, Qingchao Jiang, Xuefeng Yan, Yingping Zhuang
A data enhancement method based on generative adversarial network for small sample-size with soft sensor application. Comput. Chem. Eng. 186 (2024)
Fulin Gao, Weimin Zhong, Qingchao Jiang, Xin Peng, Zhi Li
OWFD-UCPM: An open-world fault diagnosis scheme based on uncertainty calibration and prototype management. Knowl. Based Syst. 286 (2024)
Qingchao Jiang, Jiashi Jiang, Weimin Zhong, Xuefeng Yan
Optimized Gaussian-Process-Based Probabilistic Latent Variable Modeling Framework for Distributed Nonlinear Process Monitoring. IEEE Trans. Syst. Man Cybern. Syst. 53 (5) (2023)
Jiajia Fan, Wentao Huang, Qingchao Jiang, Qinqin Fan
A Zoning Search-Based Multimodal Multi-Objective Brain Storm Optimization Algorithm for Multimodal Multi-Objective Optimization. Algorithms 16 (7) (2023)
Qingchao Jiang, Ziwen Wang, Shifu Yan, Zhixing Cao
Data-Driven Soft Sensing for Batch Processes Using Neural Network-Based Deep Quality-Relevant Representation Learning. IEEE Trans. Artif. Intell. 4 (4) (2023)
Zhichao Li, Li Tian, Qingchao Jiang, Xuefeng Yan
Dynamic nonlinear process monitoring based on dynamic correlation variable selection and kernel principal component regression. J. Frankl. Inst. 359 (9) (2022)
Qingchao Jiang, Shutian Chen, Xuefeng Yan, Manabu Kano, Biao Huang
Data-Driven Communication Efficient Distributed Monitoring for Multiunit Industrial Plant-Wide Processes. IEEE Trans Autom. Sci. Eng. 19 (3) (2022)
Shutian Chen, Qingchao Jiang
Distributed Robust Process Monitoring Based on Optimized Denoising Autoencoder With Reinforcement Learning. IEEE Trans. Instrum. Meas. 71 (2022)
Huaikuan Yi, Qingchao Jiang, Xuefeng Yan, Bei Wang
Imbalanced Classification Based on Minority Clustering Synthetic Minority Oversampling Technique With Wind Turbine Fault Detection Application. IEEE Trans. Ind. Informatics 17 (9) (2021)
Qingchao Jiang, Shifu Yan, Hui Cheng, Xuefeng Yan
Local-Global Modeling and Distributed Computing Framework for Nonlinear Plant-Wide Process Monitoring With Industrial Big Data. IEEE Trans. Neural Networks Learn. Syst. 32 (8) (2021)
Zhichao Li, Li Tian, Qingchao Jiang, Xuefeng Yan
Distributed-ensemble stacked autoencoder model for non-linear process monitoring. Inf. Sci. 542 (2021)
Xuefeng Yan, Jie Wang, Qingchao Jiang
Deep relevant representation learning for soft sensing. Inf. Sci. 514 (2020)
Qingchao Jiang, Shifu Yan, Xuefeng Yan, Hui Yi, Furong Gao
Data-Driven Two-Dimensional Deep Correlated Representation Learning for Nonlinear Batch Process Monitoring. IEEE Trans. Ind. Informatics 16 (4) (2020)
Qingchao Jiang, Xuefeng Yan, Hui Yi, Furong Gao
Data-Driven Batch-End Quality Modeling and Monitoring Based on Optimized Sparse Partial Least Squares. IEEE Trans. Ind. Electron. 67 (5) (2020)
Qingchao Jiang, Xuefeng Yan, Biao Huang
Deep Discriminative Representation Learning for Nonlinear Process Fault Detection. IEEE Trans Autom. Sci. Eng. 17 (3) (2020)
Qingchao Jiang, Xuefeng Yan
Quality-Driven Kernel Projection to Latent Structure Model for Nonlinear Process Monitoring. IEEE Access 7 (2019)
Qingchao Jiang, Xuefeng Yan
Multimode Process Monitoring Using Variational Bayesian Inference and Canonical Correlation Analysis. IEEE Trans Autom. Sci. Eng. 16 (4) (2019)
Qingchao Jiang, Xuefeng Yan
Learning Deep Correlated Representations for Nonlinear Process Monitoring. IEEE Trans. Ind. Informatics 15 (12) (2019)
Qingchao Jiang, Furong Gao, Xuefeng Yan, Hui Yi
Multiobjective Two-Dimensional CCA-Based Monitoring for Successive Batch Processes With Industrial Injection Molding Application. IEEE Trans. Ind. Electron. 66 (5) (2019)
Qingchao Jiang, Furong Gao, Hui Yi, Xuefeng Yan
Multivariate Statistical Monitoring of Key Operation Units of Batch Processes Based on Time-Slice CCA. IEEE Trans. Control. Syst. Technol. 27 (3) (2019)
Qingchao Jiang, Xuefeng Yan, Biao Huang
Neighborhood Variational Bayesian Multivariate Analysis for Distributed Process Monitoring With Missing Data. IEEE Trans. Control. Syst. Technol. 27 (6) (2019)
Qingchao Jiang, Yang Wang, Xuefeng Yan
Optimal Variable Transmission for Distributed Local Fault Detection Incorporating RA and Evolutionary Optimization. IEEE Access 6 (2018)
Yang Wang, Qingchao Jiang, Binbin Li, Lizhi Cui
Joint-Individual Monitoring of Parallel-Running Batch Processes Based on MCCA. IEEE Access 6 (2018)
Yang Wang, Qingchao Jiang, Jingqi Fu
Data-Driven Optimized Distributed Dynamic PCA for Efficient Monitoring of Large-Scale Dynamic Processes. IEEE Access 5 (2017)
Qingchao Jiang, Steven X. Ding, Yang Wang, Xuefeng Yan
Data-Driven Distributed Local Fault Detection for Large-Scale Processes Based on the GA-Regularized Canonical Correlation Analysis. IEEE Trans. Ind. Electron. 64 (10) (2017)
Qingchao Jiang, Biao Huang, Xuefeng Yan
GMM and optimal principal components-based Bayesian method for multimode fault diagnosis. Comput. Chem. Eng. 84 (2016)
Bei Wang, Xuefeng Yan, Qingchao Jiang
Independent component analysis model utilizing de-mixing information for improved non-Gaussian process monitoring. Comput. Ind. Eng. 94 (2016)
Qingchao Jiang, Biao Huang, Steven X. Ding, Xuefeng Yan
Bayesian Fault Diagnosis With Asynchronous Measurements and Its Application in Networked Distributed Monitoring. IEEE Trans. Ind. Electron. 63 (10) (2016)
Qingchao Jiang, Xuefeng Yan, Biao Huang
Performance-Driven Distributed PCA Process Monitoring Based on Fault-Relevant Variable Selection and Bayesian Inference. IEEE Trans. Ind. Electron. 63 (1) (2016)