位置：成果数据库 > 期刊 > 期刊详情页
Performance-Driven Distributed PCA Process MonitoringBased on Fault-Relevant Variable Selection and
  • ISSN号：0278-0046
  • 期刊名称：IEEE Transactions on Industrial Electronics
  • 时间：2015
  • 页码：xx-xx
  • 相关项目：基于多元统计与动态模拟的工业反应状况多尺度在线监测研究
作者： Qingchao Jiang|Xuefeng Yan|Biao Huang|
同期刊论文项目
基于多元统计与动态模拟的工业反应状况多尺度在线监测研究
期刊论文 96 会议论文 1
同项目期刊论文
进化策略自适应调度的粒子群算法及应用于压力容器设计
Self-adaptive Co-evolution differential evolution algorithm for optimal design of water distribution
基于PCA与OLPP混合方法的化工过程故障检测
Multivariate statistical process monitoring using a modified factor analysis and its application
Using Improved Self-Organizing Map for Fault Diagnosis in Chemical Industry Process
Chemical processes monitoring based on weighted principal component analysis and its application
PCA-ICA化工过程监控中的PCA白化性能分析
双层粒子群算法及应用于压力容器设计
Chemical process dynamic optimization based on hybrid differential evolution algorithm integrated wi
Fault Diagnosis in Chemical Process Based on Self-organizing Map Integrated with Fisher Discriminant
Statistical Monitoring of Chemical Processes Based on Sensitive Kernel Principal Components
Transforming input variables for RBFN based on PCA-ASH multivariate correlation analysis and its app
Selection and transformation of input variables for RVM based on MIPCAMI and 4-CBA concentration mod
Structure and weight optimization of neural network based on CPA-MLR and its application in naphtha
Simulation and analysis of dehydration distillation column based on distillation mechanism integrate
Distributed Statistical Process Monitoring Based on Four-Subspace Construction and Bayesian Inferenc
Double-Weighted independent Component Analysis for Non-Gaussian Chemical Process Monitoring
Optimization of RBF Neural Networks Using a Rough K-Means Algorithm and Application to Naphtha Dry P
Multi-Block Independent Component Analysis Integrated with Hellinger Distance and Bayesian Inference
Self-adaptive Differential Evolution Algorithm with Zoning Evolution ofControl Parameters and Adapti
Generalized Dice's coefficient-based multi-block principal component analysis with Bayesian
Multi-objective modified differential evolution algorithm with archive-base mutation for solving mul
Optimization of a Multilayer Neural Network by Using Minimal Redundancy Maximal Relevance-Partial Mu
Double-step Block Division Plant-Wide Fault Detection and Diagnosis Based on Variable Distribution a
Batch Process Monitoring Based on Multisubspace Multiway Principal Component Analysis and Time-Serie
Monitoring multi-mode plant-wide processes by using mutual information-based multi-block PCA, joint
Batch process monitoring based on just-in-time learning and multiple-subspace principal component an
Modified Radial Basis Function Neural Network Integrated with Multiple Regression Analysis And Its A
Adaptive Variable Space Differential Evolution Algorithm Based on Population Distribution
Fault Detection and Diagnosis in Chemical Processes Using Sensitive Principal Component Analysis
Global best harmony search algorithm with control parameters co-evolution based on PSO and its appli
Statistical process monitoring based on improved principal component analysis and its application to
Hybrid Model of Industrial p-Xylene Oxidation Incorporated Fractional Kinetic Model with Intelligent
Weighted kernel principal component analysis based on probability density estimation and moving wind
Chemical process dynamic optimization based on the differential evolution algorithm with an adaptive
Independent component analysis-based non-Gaussian process monitoring with preselecting optimal compo
Double monitoring of common and specific features for multimode process
Reservoir Computing with Sensitivity Analysis Input Scaling Regulation and Redundant Unit Pruning fo
Improved ICA for process monitoring based on ensemble learning and Bayesian inference
Fault detection and isolation in hybrid process systems using a combined data-driven and observer-de
Improved simple deterministically constructed Cycle Reservoir Network with Sensitive Iterative Pruni
Plant-wide process monitoring based on mutual information–multiblock principal component analysis
Self-adaptive particle swarm optimization with multiple velocity strategies and its application for
Improved fault detection in nonlinear chemical processes using WKPCA-SVDD
Fault detection and identification using a Kullback-Leibler divergence based multi-block principal c
Probabilistic Weighted NPE-SVDD for chemical process monitoring
An adaptive multimode process monitoring strategy based on mode clustering and mode unfolding
Chaotic Differential Evolution Algorithm Based on Competitive Coevolution and Its Application to Dyn
Statistical Process Monitoring Based on a Multi-manifold Projection Algorithm
Fault detection in non-Gaussian processes based on mutual information weighted independent component
Modified kerenel regression integrated with monotonicity knowledge and its application to chemical e
A Multi-SOM with Canonical Variate Analysis for Chemical Process Monitoring and Fault Diagnosis
Just-in-time reorganized PCA integrated with SVDD for chemical process monitoring
Development of a hybrid model for the sodium gluconate fermentation by Aspergillus niger
Burning side reaction model of the INVISTA oxidation process using a radial basis function neural ne
Self-adaptive differential evolution algorithm with discrete mutation control parameters
Chlorophyll-a Predicting Model Based on Dynamic Neural Network
Differential evolution algorithm with self-adaptive strategy and control parameters for P-xylene oxi
Harmony search algorithm with differential evolution based control parameter co-evolution and its ap
Energy demand management for process systems through production scheduling and control
Nonlinear plant-wide process monitoring using MI-spectral clustering and Bayesian inference-based mu
Fault diagnosis and process monitoring using a statistical pattern framework based on a self-organiz
Elman neural networks with sensitivity pruning for modeling fed-batch fermentation processes
Hybrid model for main and side reactions of p-xylene oxidation with factor influence based monotone
A comparative study of hybrid models combining various kinetic and regression models for p-xylene ox
Estimating the chemical reaction kinetics of p-xylene oxidation using artificial neural network with
Gaussian and non-Gaussian double subspace statistical process monitoring based on PCA and ICA
Joint probability density and double weighted independent component analysis for Multimode Non-Gauss
A Hybrid Differential Evolution Algorithm Integrated with Particle Swarm Optimization
Dynamic process fault detection and diagnosis based on dynamic principal component analysis, dynamic
Loading-based principle component selection for PCAintegrated with support vector data description
A novel decentralized process monitoring scheme usinga modified multiblock PCA algorithm
Fault detection in nonlinear chemical processes based on kernel entropy component analysis and angul
Hybrid model for main and side reactions of p-xylene oxidation with prior knowledge based monotone a
Probabilistic monitoring of chemical processes using adaptively weighted factor analysis and its app
Non-Gaussian chemical process monitoring with adaptively weighted independent component analysis and
GMM and optimal principal components-based Bayesian method for multimode fault diagnosis
Multivariate Outlier Detection Approach Based on k-Nearest Neighbors and Its Application for Chemica
A hybrid model of solvent dehydratic distillation column based on mechanism and LS-SVM
基于即时学习的集成神经网络及其干点预测
Fault Diagnosis in Chemical Process Based on Self-organizing Map Integrated with Fisher Discriminant Analysis
多样性分布参数的粒子群算法及其在过程动态优化中的应用
Chemical process dynamic optimization based on hybrid differential evolution algorithm integrated with Alopex