Performance-Driven Distributed PCA Process Monitoring Based on Fault-Relevant Variable Selection and Bayesian Inference von Jiang, Qingchao, Yan, Xuefeng, Huang, Biao

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Neural network aided approximation and parameter inference of non-Markovian models of gene expression von Jiang, Qingchao, Fu, Xiaoming, Yan, Shifu, Li, Runlai, Du, Wenli, Cao, Zhixing, Qian, Feng, Grima, Ramon

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Nonlinear plant-wide process monitoring using MI-spectral clustering and Bayesian inference-based multiblock KPCA von Jiang, Qingchao, Yan, Xuefeng

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Monitoring multi-mode plant-wide processes by using mutual information-based multi-block PCA, joint probability, and Bayesian inference von Jiang, Qingchao, Yan, Xuefeng

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Multivariate Statistical Monitoring of Key Operation Units of Batch Processes Based on Time-Slice CCA von Jiang, Qingchao, Gao, Furong, Yi, Hui, Yan, Xuefeng

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Plant-wide process monitoring based on mutual information–multiblock principal component analysis von Jiang, Qingchao, Yan, Xuefeng

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Data-Driven Distributed Local Fault Detection for Large-Scale Processes Based on the GA-Regularized Canonical Correlation Analysis von Qingchao Jiang, Ding, Steven X., Yang Wang, Xuefeng Yan

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Fault Detection and Diagnosis in Chemical Processes Using Sensitive Principal Component Analysis von Jiang, Qingchao, Yan, Xuefeng, Zhao, Weixiang

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Quality-relevant dynamic process monitoring based on dynamic total slow feature regression model von Yan, Shifu, Jiang, Qingchao, Zheng, Haiyong, Yan, Xuefeng

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Weighted kernel principal component analysis based on probability density estimation and moving window and its application in nonlinear chemical process monitoring von Jiang, Qingchao, Yan, Xuefeng

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Bayesian Fault Diagnosis With Asynchronous Measurements and Its Application in Networked Distributed Monitoring von Qingchao Jiang, Biao Huang, Ding, Steven X., Xuefeng Yan

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Batch Process Monitoring Based on Multisubspace Multiway Principal Component Analysis and Time-Series Bayesian Inference von Zhaomin, Lv, Qingchao, Jiang, Xuefeng, Yan

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Batch process monitoring based on self-adaptive subspace support vector data description von Lv, Zhaomin, Yan, Xuefeng, Jiang, Qingchao

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Chemical processes monitoring based on weighted principal component analysis and its application von Jiang, Qingchao, Yan, Xuefeng

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Parallel PCA–KPCA for nonlinear process monitoring von Jiang, Qingchao, Yan, Xuefeng

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Quality-Driven Kernel Projection to Latent Structure Model for Nonlinear Process Monitoring von Jiang, Qingchao, Yan, Xuefeng

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A Zoning Search-Based Multimodal Multi-Objective Brain Storm Optimization Algorithm for Multimodal Multi-Objective Optimization von Fan, Jiajia, Huang, Wentao, Jiang, Qingchao, Fan, Qinqin

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Multimodal process monitoring based on transition-constrained Gaussian mixture model von Chen, Shutian, Jiang, Qingchao, Yan, Xuefeng

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Review and Perspectives of Data-Driven Distributed Monitoring for Industrial Plant-Wide Processes von Jiang, Qingchao, Yan, Xuefeng, Huang, Biao

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Distributed monitoring for large-scale processes based on multivariate statistical analysis and Bayesian method von Jiang, Qingchao, Huang, Biao

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