成果/Result
- Performance-Driven Distributed PCA Process Monitoring Based on Fault-Relevant Variable Selection and Bayesian Inference被引量：324收藏
- 作者：Jiang, Qingchao Yan, Xuefeng Huang, Biao
- 机构：E China Univ Sci & Technol;Univ Alberta
- 来源：IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2016
- 关键词：Bayesian inference distributed monitoring fault-relevant variable selection principal component analysis (PCA)
- Review and Perspectives of Data-Driven Distributed Monitoring for Industrial Plant-Wide Processes被引量：255收藏
- 作者：Jiang, Qingchao Yan, Xuefeng Huang, Biao
- 机构：East China Univ Sci & Technol;Univ Alberta
- 来源：INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH 2019
- 关键词：Decomposition - Statistical process control - Multivariant analysis - Industrial plants
- Parallel PCA-KPCA for nonlinear process monitoring被引量：170收藏
- 作者：Jiang, Qingchao Yan, Xuefeng
- 机构：East China Univ Sci & Technol
- 来源：CONTROL ENGINEERING PRACTICE 2018
- 关键词：Nonlinear process monitoring Fault detection Parallel PCA-KPCA Randomized algorithm Genetic algorithm
- Imbalanced Classification Based on Minority Clustering Synthetic Minority Oversampling Technique With Wind Turbine Fault Detection Application被引量：150收藏
- 作者：Yi, Huaikuan Jiang, Qingchao Yan, Xuefeng Wang, Bei
- 机构：East China Univ Sci & Technol;Tongji Univ;Shanghai Elect Wind Power Grp
- 来源：IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2021
- 关键词：Classification imbalanced data K-means algorithm synthetic minority oversampling technique (SMOTE) wind turbine fault detection
- Data-Driven Batch-End Quality Modeling and Monitoring Based on Optimized Sparse Partial Least Squares被引量：118收藏
- 作者：Jiang, Qingchao Yan, Xuefeng Yi, Hui Gao, Furong
- 机构：East China Univ Sci & Technol;Nanjing Univ Technol;Hong Kong Univ Sci & Technol
- 来源：IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2020
- 关键词：Predictive models Monitoring Input variables Batch production systems Optimization Mathematical model Analytical models Batch-end quality prediction batch processes optimized sparse partial least square (OSPLS) soft sensing sparse modeling
- Plant-wide process monitoring based on mutual information-multiblock principal component analysis被引量：111收藏
- 作者：Jiang, Qingchao Yan, Xuefeng
- 机构：E China Univ Sci & Technol
- 来源：ISA TRANSACTIONS 2014
- 关键词：Plant-wide process monitoring Mutual information Multiblock PCA Support vector data description
- Data-Driven Distributed Local Fault Detection for Large-Scale Processes Based on the GA-Regularized Canonical Correlation Analysis被引量：107收藏
- 作者：Jiang, Qingchao Ding, Steven X. Wang, Yang Yan, Xuefeng
- 机构：East China Univ Sci & Technol;Univ Duisburg Essen;Univ Duisburg Essen;Shanghai Dianji Univ;Shanghai Univ
- 来源：IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2017
- 关键词：Canonical correlation analysis (CCA) distributed fault detection genetic algorithm (GA) large-scale processes
- Local-Global Modeling and Distributed Computing Framework for Nonlinear Plant-Wide Process Monitoring With Industrial Big Data被引量：103收藏
- 作者：Jiang, Qingchao Yan, Shifu Cheng, Hui Yan, Xuefeng
- 机构：East China Univ Sci & Technol;Tongji Univ
- 来源：IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2021
- 关键词：Monitoring Kernel Computational modeling Fault detection Correlation Principal component analysis Big Data Deep neural network (DNN) distributed computing industrial big data local-global modeling nonlinear plant-wide processes
- Fault Detection and Diagnosis in Chemical Processes Using Sensitive Principal Component Analysis被引量：100收藏
- 作者：Jiang, Qingchao Yan, Xuefeng Zhao, Weixiang
- 机构：E China Univ Sci & Technol;Natl Grid
- 来源：INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH 2013
- 关键词：Process control - Process monitoring - Chemical detection - Fault detection
- Just-In-Time Reorganized PCA Integrated with SVDD for Chemical Process Monitoring被引量：95收藏
- 作者：Jiang, Qingchao Yan, Xuefeng
- 机构：E China Univ Sci & Technol
- 来源：AICHE JOURNAL 2014
- 关键词：Process monitoring - Data description - Chemical analysis - Process control
- Monitoring multi-mode plant-wide processes by using mutual information-based multi-block PCA, joint probability, and Bayesian inference被引量：91收藏
- 作者：Jiang, Qingchao Yan, Xuefeng
- 机构：E China Univ Sci & Technol
- 来源：CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 2014
- 关键词：Multi-mode plant-wide process Multi-block principal component analysis Joint probability Bayesian inference Mutual information
- Neural network aided approximation and parameter inference of non-Markovian models of gene expression被引量：86收藏
- 作者：Jiang, Qingchao Fu, Xiaoming Yan, Shifu Li, Runlai Du, Wenli Cao, Zhixing Qian, Feng Grima, Ramon
- 机构：East China Univ Sci & Technol;Univ Edinburgh;Natl Univ Singapore;East China Univ Sci & Technol
- 来源：NATURE COMMUNICATIONS 2021
- Nonlinear plant-wide process monitoring using MI-spectral clustering and Bayesian inference-based multiblock KPCA被引量：84收藏
- 作者：Jiang, Qingchao Yan, Xuefeng
- 机构：E China Univ Sci & Technol
- 来源：JOURNAL OF PROCESS CONTROL 2015
- 关键词：Nonlinear plant-wide process monitoring Multiblock kernel principal component analysis Mutual information-spectral clustering Bayesian inference
- Multimode Process Monitoring Using Variational Bayesian Inference and Canonical Correlation Analysis被引量：77收藏
- 作者：Jiang, Qingchao Yan, Xuefeng
- 机构：East China Univ Sci & Technol
- 来源：IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING 2019
- 关键词：Monitoring Bayes methods Correlation Fault detection Indexes Gaussian mixture model Canonical correlation analysis (CCA) fault detection multimode process monitoring variational Bayesian Gaussian mixture model (GMM)
- Distributed-ensemble stacked autoencoder model for nonlinear process monitoring被引量：65收藏
- 作者：Li, Zhichao Tian, Li Jiang, Qingchao Yan, Xuefeng
- 机构：East China Univ Sci & Technol
- 来源：INFORMATION SCIENCES 2021
- 关键词：Stacked autoencoder Process monitoring Distributed ensemble Joint feature
- Learning Deep Correlated Representations for Nonlinear Process Monitoring被引量：60收藏
- 作者：Jiang, Qingchao Yan, Xuefeng
- 机构：East China Univ Sci & Technol
- 来源：IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2019
- 关键词：Monitoring Feature extraction Optimization Correlation Fault detection Data mining Kernel Canonical correlation analysis (CCA) deep neural network (DNN) multiobjective evolutionary optimization (MEO) nonlinear process monitoring
- Multivariate Statistical Monitoring of Key Operation Units of Batch Processes Based on Time-Slice CCA被引量：59收藏
- 作者：Jiang, Qingchao Gao, Furong Yi, Hui Yan, Xuefeng
- 机构：Hong Kong Univ Sci & Technol;East China Univ Sci & Technol;Nanjing Univ Technol
- 来源：IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY 2019
- 关键词：Batch processes canonical correlation analysis (CCA) key operation unit monitoring multivariate statistical process monitoring
- Data-Driven Two-Dimensional Deep Correlated Representation Learning for Nonlinear Batch Process Monitoring被引量：59收藏
- 作者：Jiang, Qingchao Yan, Shifu Yan, Xuefeng Yi, Hui Gao, Furong
- 机构：East China Univ Sci & Technol;Nanjing Univ Technol;Hong Kong Univ Sci & Technol
- 来源：IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2020
- 关键词：Batch process monitoring data-driven fault detection deep correlated representation learning (DCRL) two-dimensional (2-D) modeling
- Weighted kernel principal component analysis based on probability density estimation and moving window and its application in nonlinear chemical process monitoring被引量：50收藏
- 作者：Jiang, Qingchao Yan, Xuefeng
- 机构：E China Univ Sci & Technol
- 来源：CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 2013
- 关键词：Weighted kernel principal component analysis Nonlinear process monitoring Probability density estimation Moving window
- Data-Driven Communication Efficient Distributed Monitoring for Multiunit Industrial Plant-Wide Processes被引量：49收藏
- 作者：Jiang, Qingchao Chen, Shutian Yan, Xuefeng Kano, Manabu Huang, Biao
- 机构：East China Univ Sci & Technol;Kyoto Univ;Univ Alberta
- 来源：IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING 2022
- 关键词：Monitoring Correlation Process monitoring Fault detection Distributed databases Principal component analysis Computational modeling Absolute shrinkage and selection operator canonical correlation analysis (CCA) distributed process monitoring latent variable correlation analysis (LVCA) variable communication
- Chemical processes monitoring based on weighted principal component analysis and its application被引量：46收藏
- 作者：Jiang, Qingchao Yan, Xuefeng
- 机构：E China Univ Sci & Technol
- 来源：CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 2012
- 关键词：Chemical process monitoring Fault detection Fault diagnosis Weighted principal component
- Deep relevant representation learning for soft sensing被引量：44收藏
- 作者：Yan, Xuefeng Wang, Jie Jiang, Qingchao
- 机构：East China Univ Sci & Technol;Tongji Univ
- 来源：INFORMATION SCIENCES 2020
- 关键词：Deep neural network Stacked autoencoder Deep relevant representation Soft sensing Mutual information
- Multiobjective Two-Dimensional CCA-Based Monitoring for Successive Batch Processes With Industrial Injection Molding Application被引量：43收藏
- 作者：Jiang, Qingchao Gao, Furong Yan, Xuefeng Yi, Hui
- 机构：East China Univ Sci & Technol;Hong Kong Univ Sci & Technol;Nanjing Univ Technol
- 来源：IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2019
- 关键词：Canonical correlation analysis (CCA) multiobjective evolutionary optimization multivariate statistical fault detection successive batch processes two-dimensional monitoring
- Multiblock Independent Component Analysis Integrated with Hellinger Distance and Bayesian Inference for Non-Gaussian Plant-Wide Process Monitoring被引量：41收藏
- 作者：Jiang, Qingchao Wang, Bei Yan, Xuefeng
- 机构：E China Univ Sci & Technol
- 来源：INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH 2015
- 关键词：Bayesian networks - Inference engines - Process control - Process monitoring - Probability distributions
- PCA-ICA Integrated with Bayesian Method for Non-Gaussian Fault Diagnosis被引量：39收藏
- 作者：Jiang, Qingchao Yan, Xuefeng Li, Juan
- 机构：E China Univ Sci & Technol;Qingdao Agr Univ
- 来源：INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH 2016
- 关键词：Process monitoring - Gaussian distribution - Failure analysis - Optimization - Gaussian noise (electronic) - Bayesian networks - Principal component analysis - Fault detection - Numerical methods
- Optimized Gaussian-Process-Based Probabilistic Latent Variable Modeling Framework for Distributed Nonlinear Process Monitoring被引量：39收藏
- 作者：Jiang, Qingchao Jiang, Jiashi Zhong, Weimin Yan, Xuefeng
- 机构：East China Univ Sci & Technol
- 来源：IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 2023
- 关键词：Distributed process monitoring fault detection Gaussian process probabilistic latent variable model
- Deep Discriminative Representation Learning for Nonlinear Process Fault Detection被引量：38收藏
- 作者：Jiang, Qingchao Yan, Xuefeng Huang, Biao
- 机构：East China Univ Sci & Technol;Tongji Univ;Univ Alberta
- 来源：IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING 2020
- 关键词：Monitoring Fault detection Feature extraction Kernel Principal component analysis Training Neural networks Deep neural network (DNN) discriminative representations fault detection nonlinear process monitoring
- Batch process monitoring based on just-in-time learning and multiple-subspace principal component analysis被引量：38收藏
- 作者：Lv, Zhaomin Yan, Xuefeng Jiang, Qingchao
- 机构：E China Univ Sci & Technol
- 来源：CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 2014
- 关键词：Batch process monitoring Just in time learning Multiple subspace Principal component analysis
- Non-Gaussian chemical process monitoring with adaptively weighted independent component analysis and its applications被引量：34收藏
- 作者：Jiang, Qingchao Yan, Xuefeng
- 机构：E China Univ Sci & Technol
- 来源：JOURNAL OF PROCESS CONTROL 2013
- 关键词：Chemical processes Weighted independent component analysis Process monitoring Fault detection
- Data-driven individual-joint learning framework for nonlinear process monitoring被引量：32收藏
- 作者：Jiang, Qingchao Yan, Shifu Yan, Xuefeng Chen, Shutian Sun, Jinggao
- 机构：East China Univ Sci & Technol
- 来源：CONTROL ENGINEERING PRACTICE 2020
- 关键词：Individual-joint learning Deep neural network Nonlinear process monitoring Fault detection
