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2020 – today
- 2024
[j35]Jianbo Yu
, Zhaomin Lv, Hang Ruan, Shijie Hu, Qingchao Jiang, Xuefeng Yan, Yuping Liu, Xiaofeng Yang:
Mutual stacked autoencoder for unsupervised fault detection under complex multi-residual correlations. Adv. Eng. Informatics 62: 102837 (2024)- [j34]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: 108707 (2024) - [j33]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: 109065 (2024) - [j32]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: 111403 (2024) - [j31]Zhenhua Yu, Zhongyi Zhang, Qingchao Jiang, Xuefeng Yan:
Neural network-based hybrid modeling approach incorporating Bayesian optimization with industrial soft sensor application. Knowl. Based Syst. 301: 112341 (2024) - [j30]Wenhao Jin, Wenjing Wang, Yang Wang, Zhixing Cao, Qingchao Jiang:
Distributed monitoring of nonlinear plant-wide processes based on GA-regularized kernel canonical correlation analysis. Reliab. Eng. Syst. Saf. 252: 110421 (2024) - [j29]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): 3232-3241 (2024) - [j28]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): 6218-6230 (2024) - [c1]Nan Wang, Zonglin Di, Houlin He, Qingchao Jiang, Xiaoxiao Li:
A Simple and Provable Approach for Learning on Noisy Labeled Medical Images. ACM Multimedia 2024: 4397-4405 - 2023
- [j27]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): 350 (2023) - [j26]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): 602-611 (2023) - [j25]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): 3187-3198 (2023) - 2022
- [j24]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): 4513-4539 (2022) - [j23]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): 1913-1923 (2022) - [j22]Shutian Chen, Qingchao Jiang:
Distributed Robust Process Monitoring Based on Optimized Denoising Autoencoder With Reinforcement Learning. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - 2021
- [j21]Zhichao Li, Li Tian, Qingchao Jiang, Xuefeng Yan:
Distributed-ensemble stacked autoencoder model for non-linear process monitoring. Inf. Sci. 542: 302-316 (2021) - [j20]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): 5867-5875 (2021) - [j19]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): 3355-3365 (2021) - 2020
- [j18]Xuefeng Yan, Jie Wang, Qingchao Jiang:
Deep relevant representation learning for soft sensing. Inf. Sci. 514: 263-274 (2020) - [j17]Qingchao Jiang, Xuefeng Yan, Biao Huang:
Deep Discriminative Representation Learning for Nonlinear Process Fault Detection. IEEE Trans Autom. Sci. Eng. 17(3): 1410-1419 (2020) - [j16]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): 4098-4107 (2020) - [j15]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): 2839-2848 (2020)
2010 – 2019
- 2019
- [j14]Qingchao Jiang, Xuefeng Yan:
Quality-Driven Kernel Projection to Latent Structure Model for Nonlinear Process Monitoring. IEEE Access 7: 74450-74458 (2019) - [j13]Qingchao Jiang, Xuefeng Yan:
Multimode Process Monitoring Using Variational Bayesian Inference and Canonical Correlation Analysis. IEEE Trans Autom. Sci. Eng. 16(4): 1814-1824 (2019) - [j12]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): 1368-1375 (2019) - [j11]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): 2330-2339 (2019) - [j10]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): 3825-3834 (2019) - [j9]Qingchao Jiang, Xuefeng Yan:
Learning Deep Correlated Representations for Nonlinear Process Monitoring. IEEE Trans. Ind. Informatics 15(12): 6200-6209 (2019) - 2018
- [j8]Qingchao Jiang, Yang Wang, Xuefeng Yan:
Optimal Variable Transmission for Distributed Local Fault Detection Incorporating RA and Evolutionary Optimization. IEEE Access 6: 3201-3211 (2018) - [j7]Yang Wang, Qingchao Jiang, Binbin Li, Lizhi Cui:
Joint-Individual Monitoring of Parallel-Running Batch Processes Based on MCCA. IEEE Access 6: 13005-13014 (2018) - 2017
- [j6]Yang Wang, Qingchao Jiang, Jingqi Fu:
Data-Driven Optimized Distributed Dynamic PCA for Efficient Monitoring of Large-Scale Dynamic Processes. IEEE Access 5: 18325-18333 (2017) - [j5]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): 8148-8157 (2017) - 2016
- [j4]Bei Wang, Xuefeng Yan, Qingchao Jiang:
Independent component analysis model utilizing de-mixing information for improved non-Gaussian process monitoring. Comput. Ind. Eng. 94: 188-200 (2016) - [j3]Qingchao Jiang, Biao Huang, Xuefeng Yan:
GMM and optimal principal components-based Bayesian method for multimode fault diagnosis. Comput. Chem. Eng. 84: 338-349 (2016) - [j2]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): 377-386 (2016) - [j1]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): 6316-6324 (2016)
Coauthor Index
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