Qingchao Jiang
Orcid: 0000-0002-3402-9018
According to our database1,
Qingchao Jiang
authored at least 39 papers
between 2016 and 2025.
Collaborative distances:
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Bibliography
2025
Solving dynamic multi-objective optimization problem of immersed tunnel elements via multi-source evolutionary information clustering method.
Eng. Appl. Artif. Intell., 2025
2024
Partial Cross Mapping Based on Sparse Variable Selection for Direct Fault Root Cause Diagnosis for Industrial Processes.
IEEE Trans. Neural Networks Learn. Syst., May, 2024
Hierarchical Fault Root Cause Identification in Plant-Wide Processes Using Distributed Direct Causality Analysis.
IEEE Trans. Ind. Informatics, March, 2024
Distributed monitoring of nonlinear plant-wide processes based on GA-regularized kernel canonical correlation analysis.
Reliab. Eng. Syst. Saf., 2024
Neural network-based hybrid modeling approach incorporating Bayesian optimization with industrial soft sensor application.
Knowl. Based Syst., 2024
OWFD-UCPM: An open-world fault diagnosis scheme based on uncertainty calibration and prototype management.
Knowl. Based Syst., 2024
Semi-supervised soft sensor method for fermentation processes based on physical monotonicity and variational autoencoders.
Eng. Appl. Artif. Intell., 2024
A data enhancement method based on generative adversarial network for small sample-size with soft sensor application.
Comput. Chem. Eng., 2024
Mutual stacked autoencoder for unsupervised fault detection under complex multi-residual correlations.
Adv. Eng. Informatics, 2024
Plant-Wide Process Incipient Fault Detection via Double-Layer Subspace Weighted Moving Window Reconstruction ICA.
Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
2023
A Zoning Search-Based Multimodal Multi-Objective Brain Storm Optimization Algorithm for Multimodal Multi-Objective Optimization.
Algorithms, July, 2023
Optimized Gaussian-Process-Based Probabilistic Latent Variable Modeling Framework for Distributed Nonlinear Process Monitoring.
IEEE Trans. Syst. Man Cybern. Syst., May, 2023
Data-Driven Soft Sensing for Batch Processes Using Neural Network-Based Deep Quality-Relevant Representation Learning.
IEEE Trans. Artif. Intell., 2023
2022
Distributed Robust Process Monitoring Based on Optimized Denoising Autoencoder With Reinforcement Learning.
IEEE Trans. Instrum. Meas., 2022
Data-Driven Communication Efficient Distributed Monitoring for Multiunit Industrial Plant-Wide Processes.
IEEE Trans Autom. Sci. Eng., 2022
Dynamic nonlinear process monitoring based on dynamic correlation variable selection and kernel principal component regression.
J. Frankl. Inst., 2022
2021
Local-Global Modeling and Distributed Computing Framework for Nonlinear Plant-Wide Process Monitoring With Industrial Big Data.
IEEE Trans. Neural Networks Learn. Syst., 2021
Imbalanced Classification Based on Minority Clustering Synthetic Minority Oversampling Technique With Wind Turbine Fault Detection Application.
IEEE Trans. Ind. Informatics, 2021
Inf. Sci., 2021
2020
Data-Driven Two-Dimensional Deep Correlated Representation Learning for Nonlinear Batch Process Monitoring.
IEEE Trans. Ind. Informatics, 2020
Data-Driven Batch-End Quality Modeling and Monitoring Based on Optimized Sparse Partial Least Squares.
IEEE Trans. Ind. Electron., 2020
IEEE Trans Autom. Sci. Eng., 2020
2019
IEEE Trans. Ind. Informatics, 2019
Multiobjective Two-Dimensional CCA-Based Monitoring for Successive Batch Processes With Industrial Injection Molding Application.
IEEE Trans. Ind. Electron., 2019
Neighborhood Variational Bayesian Multivariate Analysis for Distributed Process Monitoring With Missing Data.
IEEE Trans. Control. Syst. Technol., 2019
Multivariate Statistical Monitoring of Key Operation Units of Batch Processes Based on Time-Slice CCA.
IEEE Trans. Control. Syst. Technol., 2019
Multimode Process Monitoring Using Variational Bayesian Inference and Canonical Correlation Analysis.
IEEE Trans Autom. Sci. Eng., 2019
Quality-Driven Kernel Projection to Latent Structure Model for Nonlinear Process Monitoring.
IEEE Access, 2019
2018
IEEE Access, 2018
Optimal Variable Transmission for Distributed Local Fault Detection Incorporating RA and Evolutionary Optimization.
IEEE Access, 2018
2017
Data-Driven Distributed Local Fault Detection for Large-Scale Processes Based on the GA-Regularized Canonical Correlation Analysis.
IEEE Trans. Ind. Electron., 2017
Data-Driven Optimized Distributed Dynamic PCA for Efficient Monitoring of Large-Scale Dynamic Processes.
IEEE Access, 2017
2016
Performance-Driven Distributed PCA Process Monitoring Based on Fault-Relevant Variable Selection and Bayesian Inference.
IEEE Trans. Ind. Electron., 2016
Bayesian Fault Diagnosis With Asynchronous Measurements and Its Application in Networked Distributed Monitoring.
IEEE Trans. Ind. Electron., 2016
GMM and optimal principal components-based Bayesian method for multimode fault diagnosis.
Comput. Chem. Eng., 2016
Independent component analysis model utilizing de-mixing information for improved non-Gaussian process monitoring.
Comput. Ind. Eng., 2016