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289 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  
Self-Adaptive Differential Evolution Algorithm With Zoning Evolution of Control Parameters and Adaptive Mutation Strategies被引量:165收藏 分享
作者:Fan, Qinqin Yan, Xuefeng
机构:E China Univ Sci & Technol
来源:IEEE TRANSACTIONS ON CYBERNETICS  2016
关键词:Control parameter adaptation   differential evolution (DE) algorithm   mutation strategy adaptation   zoning evolution  
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  
Dynamic process fault detection and diagnosis based on dynamic principal component analysis, dynamic independent component analysis and Bayesian inference被引量:112收藏 分享
作者:Huang, Jian Yan, Xuefeng
机构:E China Univ Sci & Technol
来源:CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS  2015
关键词:Process monitoring   J-B test   Dynamic principal component analysis   Dynamic independent component analysis   Bayesian Inference  
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  
Self-adaptive differential evolution algorithm with discrete mutation control parameters被引量:90收藏 分享
作者:Fan, Qinqin Yan, Xuefeng
机构:E China Univ Sci & Technol
来源:EXPERT SYSTEMS WITH APPLICATIONS  2015
关键词:Evolutionary computation   Differential evolution algorithm   Discrete mutation parameters   Control parameter adaptation   Mutation strategy adaptation  
GMM and optimal principal components-based Bayesian method for multimode fault diagnosis被引量:88收藏 分享
作者:Jiang, Qingchao Huang, Biao Yan, Xuefeng
机构:Univ Alberta;E China Univ Sci & Technol
来源:COMPUTERS & CHEMICAL ENGINEERING  2016
关键词:Gaussian mixture model   Principal component analysis   Bayesian method   Process monitoring   Fault diagnosis  
Optimizing the echo state network with a binary particle swarm optimization algorithm被引量:85收藏 分享
作者:Wang, Heshan Yan, Xuefeng
机构:E China Univ Sci & Technol
来源:KNOWLEDGE-BASED SYSTEMS  2015
关键词:Echo state network   Reservoir computing   Artificial neural network   Binary particle swarm optimization algorithm   Time-series prediction  
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)  
Multi-objective differential evolution with performance-metric-based self-adaptive mutation operator for chemical and biochemical dynamic optimization problems被引量:73收藏 分享
作者:Fan, Qinqin Wang, Weili Yan, Xuefeng
机构: Logistics Research Center; Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education
来源:Applied Soft Computing Journal  2017
关键词:Problem solving - Decision making - Evolutionary algorithms  
Quality Relevant and Independent Two Block Monitoring Based on Mutual Information and KPCA被引量:72收藏 分享
作者:Huang, Junping Yan, Xuefeng
机构:East China Univ Sci & Technol
来源:IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS  2017
关键词:Kernel principal component analysis (KPCA)   mutual information (MI)   nonlinear process monitoring   quality-independent monitoring   quality-relevant monitoring  
Data-Driven Mode Identification and Unsupervised Fault Detection for Nonlinear Multimode Processes被引量:70收藏 分享
作者:Wang, Bei Li, Zhichao Dai, Zhenwen Lawrence, Neil Yan, Xuefeng
机构:East China Univ Sci & Technol;Shanghai Elect Windpower Grp;Univ Sheffield
来源:IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS  2020
关键词:Monitoring   Hidden Markov models   Data models   Biological system modeling   Fault detection   Adaptation models   Indexes   Data-driven process monitoring   Dirichlet process Gaussian mixed model (DPGMM)   fault detection   multimode systems   nonlinear dimensionality reduction  
Whole Process Monitoring Based on Unstable Neuron Output Information in Hidden Layers of Deep Belief Network被引量:70收藏 分享
作者:Yu, Jianbo Yan, Xuefeng
机构:East China Univ Sci & Technol
来源:IEEE TRANSACTIONS ON CYBERNETICS  2020
关键词:Neurons   Feature extraction   Deep learning   Fault detection   Data mining   Deep belief network (DBN)   deep learning   process monitoring   unstable neuron  
An adaptive multimode process monitoring strategy based on mode clustering and mode unfolding被引量:70收藏 分享
作者:Tong, Chudong Palazoglu, Ahmet Yan, Xuefeng
机构:E China Univ Sci & Technol;Univ Calif Davis
来源:JOURNAL OF PROCESS CONTROL  2013
关键词:Fault detection   Clustering   Principal component analysis   Multimode processes  
Optimizing Enzyme-Constrained Metabolic Models by an Indicator Guided Bi-Surrogate Adaptive Multimodal Multiobjective Optimization Algorithm被引量:69收藏 分享
作者:Wang, Le Fan, Xingcun Yan, Xuefeng
机构: East China University of Science and Technology
来源:IEEE Transactions on Evolutionary Computation  2025
关键词:Constrained optimization - Energy utilization - Fuel additives - Metabolic engineering - Metabolism - Multiobjective optimization  
A Novel Decentralized Process Monitoring Scheme Using a Modified Multiblock PCA Algorithm被引量:67收藏 分享
作者:Tong, Chudong Yan, Xuefeng
机构:Ningbo Univ;East China Univ Sci & Technol
来源:IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING  2017
关键词:Bayesian inference   contribution plots   decentralized process monitoring   fault detection   multiblock principal component analysis (MBPCA)  
自适应变异差分进化算法估计软测量参数被引量:67收藏 分享
作者:颜学峰 余娟 钱锋
机构:华东理工大学自动化研究所
来源:《控制理论与应用》  2006
关键词:差分进化算法  自适应  对苯二甲酸  对羧基苯甲醛  参数估计  
摘要:提出一种自适应变异差分进化算法(ADE),能根据搜索进展情况自适应地确定变异率,使算法在初期保持个体的多样性,避免早熟:在后期逐步降低变异率,保留优良信息,避免最优解遭到破坏,增加搜索到全局最优值的概率.与传统的差分进化...
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基于精英选择和个体迁移的多目标遗传算法被引量:66收藏 分享
作者:祁荣宾 钱锋 杜文莉 颜学峰
机构:华东理工大学自动化研究所
来源:《控制与决策》  2007
关键词:多目标优化  遗传算法  Pareto最优解  
摘要:提出基于遗传算法求解多目标优化问题的方法,将多目标问题分解成多个单目标优化问题,用遗传算法分别在每个单目标种群中并行搜索.在进化过程中的每一代,采用精英选择和个体迁移策略加快多个目标的并行搜索,提出了控制Pareto最优...
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Related and independent variable fault detection based on KPCA and SVDD被引量:66收藏 分享
作者:Huang, Jian Yan, Xuefeng
机构:E China Univ Sci & Technol
来源:JOURNAL OF PROCESS CONTROL  2016
关键词:Independent variables   Related variables   Process monitoring   Kernel principal component analysis   Support vector data description  
Solving Multimodal Multiobjective Problems Through Zoning Search被引量:65收藏 分享
作者:Fan, Qinqin Yan, Xuefeng
机构:Shanghai Maritime Univ;Shanghai Jiao Tong Univ;East China Univ Sci & Technol
来源:IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS  2021
关键词:Pareto optimization   Search problems   Sociology   Fans   Task analysis   Broad search   deep search   evolutionary computation   multimodal multiobjective optimization (MMO)   search space segmentation  
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  
Distributed Statistical Process Monitoring Based on Four-Subspace Construction and Bayesian Inference被引量:63收藏 分享
作者:Tong, Chudong Song, Yu Yan, Xuefeng
机构:E China Univ Sci & Technol
来源:INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH  2013
关键词:Multivariant analysis - Bayesian networks - Statistical process control - Inference engines - Principal component analysis - Fault detection  
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