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144 条 记 录,以下是 1-30

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Performance-Driven Distributed PCA Process Monitoring Based on Fault-Relevant Variable Selection and Bayesian Inference被引量:324收藏 分享
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 分享
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 分享
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 分享
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 分享
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  
Data-Driven Distributed Local Fault Detection for Large-Scale Processes Based on the GA-Regularized Canonical Correlation Analysis被引量:107收藏 分享
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 分享
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 分享
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 分享
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 分享
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  
Nonlinear plant-wide process monitoring using MI-spectral clustering and Bayesian inference-based multiblock KPCA被引量:84收藏 分享
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 分享
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 分享
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  
Enhancing Visual In-Context Learning by Multi-Faceted Fusion被引量:63收藏 分享
作者:Liao, Wenwen Yu, Jianbo Wang, Yuansong Jiang, Qingchao Yang, Xiaofeng
机构: College of Intelligent Robotics and Advance Manufacturing; School of Microelectronics; Tsinghua Shenzhen International Graduate School; School of Information Science and Engineering
来源:arXiv  2026
关键词:Collaborative learning - Fusion reactions - Image fusion - Object detection  
Learning Deep Correlated Representations for Nonlinear Process Monitoring被引量:60收藏 分享
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 分享
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 分享
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  
A simplified task-assisted constrained multi objective genetic algorithm for USV-UAV collaborative maritime search and rescue被引量:52收藏 分享
作者:Deng, Pengyu Sun, Bing Jiang, Qingchao Fan, Qinqin
机构: Shanghai Maritime University; Shanghai Maritime University; East China University of Science and Technology
来源:IEEE Transactions on Vehicular Technology  2025
关键词:Accidents - Antennas - Clustering algorithms - Collaborative learning - Conformal mapping - Deep learning - Economics - Genetic algorithms - Unmanned aerial vehicles (UAV) - Waterway transportation  
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 分享
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 分享
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  
Utilizing Correlations in Singular Vector Space for Nonlinear Partial Differential Equation Discovery被引量:48收藏 分享
作者:Pan, Chunjian Jiang, Qingchao Yan, Xuefeng
机构: College of Automation Engineering; Key Laboratory of Smart Manufacturing in Energy Chemical Process
来源:SSRN  2023
关键词:Inverse problems - Learning algorithms - Machine learning - Nonlinear equations - Partial differential equations - Singular value decomposition  
Chemical processes monitoring based on wEIghted principal component analysis and its application被引量:46收藏 分享
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 分享
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 分享
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  
Plant-wide process monitoring based on mutual information-multiblock principal component analysis被引量:43收藏 分享
作者:Jiang, Qingchao Yan, Xuefeng
机构: Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education
来源:ISA Transactions  2014
关键词:Numerical methods - Data description - Process control - Principal component analysis  
Provably Secure and Robust Training-Free GIF Steganography被引量:42收藏 分享
作者:Wang, Huazhong Sun, Linhao Zhu, Zhiying Jiang, Qingchao Zhang, Xinpeng Qian, Zhenxing
机构: East China University of Science and Technology; Fudan University
来源:IEEE Transactions on Multimedia  2026
关键词:Animation - Cryptography - Extraction - Iterative methods  
Multimodal Fusion Network with Information Bottleneck Mamba and Intervention Enhancement for Retinal Disease Diagnosis被引量:41收藏 分享
作者:Liu, Qing Zhu, Hongqing Qian, Tianwei Jiang, Qingchao Xu, Xun Huang, Bingcang
机构: East China University of Science and Technology; Shanghai Jiao Tong University; Gongli Hospital of Shanghai Pudong New Area
来源:IEEE Journal of Biomedical and Health Informatics  2026
关键词:Diseases - Feature extraction - Filtration - Information fusion - Ophthalmology  
Multiblock Independent Component Analysis Integrated with Hellinger Distance and Bayesian Inference for Non-Gaussian Plant-Wide Process Monitoring被引量:41收藏 分享
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  
A Simple and Provable Approach for Learning on Noisy Labeled Medical Images被引量:41收藏 分享
作者:Wang, Nan Di, Zonglin He, Houlin Jiang, Qingchao Li, Xiaoxiao
机构: East China University of Science and Technology; University of California; University of British Columbia; Key Laboratory of Smart Manufacturing in Energy Chemical Process
来源:MM 2024 - Proceedings of the 32nd ACM International Conference on Multimedia  2024
关键词:Contrastive Learning - Medical imaging  
InfoSculpt: Sculpting the Latent Space for Generalized Category Discovery被引量:40收藏 分享
作者:Liao, Wenwen Ruan, Hang Yu, Jianbo Wang, Yuansong Jiang, Qingchao Yang, Xiaofeng
机构: College of Intelligent Robotics and Advance Manufacturing; School of Microelectronics; Tsinghua Shenzhen International Graduate School; School of Information Science and Engineering
来源:arXiv  2026
关键词:Information theory - Large datasets  
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