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96 条 记 录,以下是 1-30

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Vine Copula-Based Dependence Description for Multivariate Multimode Process Monitoring被引量:42收藏 分享
作者:Ren, Xiang Tian, Ying Li, Shaojun
机构:E China Univ Sci & Technol;Shanghai Univ Sci & Technol
来源:INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH  2015
关键词:Bayesian networks - Process control - Inference engines  
Soft-Sensor Model for Chemical Processes Based on D-Vine Copula with Rolling Pin Transformation被引量:40收藏 分享
作者:Cai, Jun Zhou, Yang Zhang, Zhihua Li, Shaojun
机构: Key Laboratory of Advanced Control and Optimization for Chemical Processes; School of Electronics and Information Engineering
来源:Industrial and Engineering Chemistry Research  2019
关键词:Ethylene - Distribution functions - Metadata  
On the use of risk-based Shapley values for cost sharing in interplant heat integration programs被引量:31收藏 分享
作者:Jin, Yuhui Chang, Chuei-Tin Li, Shaojun Jiang, Da
机构:East China Univ Sci & Technol;Natl Cheng Kung Univ
来源:APPLIED ENERGY  2018
关键词:Total-site heat integration   Heat exchanger network   Cooperative game   Shapley value   Shutdown risk  
BP neural network modeling with sensitivity analysis on monotonicity based Spearman coefficient被引量:27收藏 分享
作者:Zhou, Yang Li, Shaojun
机构:East China Univ Sci & Technol
来源:CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS  2020
关键词:Spearman coefficient   Monotonicity   Soft sensing   BP neural network  
θ-PSO:: a new strategy of particle swarm optimization被引量:25收藏 分享
作者:Zhong, Wei-min Li, Shao-jun Qian, Feng
机构:E China Univ Sci & Technol;E China Univ Sci & Technol
来源:JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A  2008
关键词:particle swarm optimization (PSO)   phase angle   benchmark function  
Fault Detection and Diagnosis for Nonlinear and Non-Gaussian Processes Based on Copula Subspace Division被引量:24收藏 分享
作者:Ren, Xiang Zhu, Kunping Cai, Ting Li, Shaojun
机构:East China Univ Sci & Technol;East China Univ Sci & Technol;Rutgers State Univ;Rutgers State Univ
来源:INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH  2017
关键词:Distribution functions - Chemical analysis - Fault detection - Gaussian noise (electronic) - Independent component analysis  
Nonlinear and Non-Gaussian Process Monitoring Based on Simplified R-Vine Copula被引量:23收藏 分享
作者:Zhou, Nan Li, Shaojun
机构:East China Univ Sci & Technol
来源:INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH  2018
关键词:Gaussian noise (electronic) - Gaussian distribution - Distillation columns - Process control - Distillation  
Sequential Dependence Modeling Using Bayesian Theory and D-Vine Copula and Its Application on Chemical Process Risk Prediction被引量:22收藏 分享
作者:Ren, Xiang Li, Shaojun Lv, Cheng Zhang, Ziyang
机构:E China Univ Sci & Technol
来源:INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH  2014
关键词:Higher order statistics - Intelligent systems - Markov processes - Monte Carlo methods - Backpropagation - Neural networks  
Improved Vine Copula-Based Dependence Description for Multivariate Process Monitoring Based on Ensemble Learning被引量:21收藏 分享
作者:Zhou, Yang Li, Shaojun Xiong, Ning
机构:East China Univ Sci & Technol;Malardalen Univ
来源:INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH  2019
关键词:Dehydration - Learning systems - Numerical methods - Process monitoring - Process control - Inference engines  
Modeling and application of industrial process fault detection based on pruning vine copula被引量:20收藏 分享
作者:Wan, Junxia Li, Shaojun
机构:East China Univ Sci & Technol
来源:CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS  2019
关键词:Dependence modeling   Vine copula   Tree pruning   Fault detection  
Alopex-based evolutionary algorithm and its application to reaction kinetic parameter estimation被引量:19收藏 分享
作者:Li, Shaojun Li, Fei
机构:E China Univ Sci & Technol
来源:COMPUTERS & INDUSTRIAL ENGINEERING  2011
关键词:Evolutionary algorithm   Alopex   Probability   Simulated annealing   Parameter estimation  
Improved Alopex-based evolutionary algorithm (AEA) by quadratic interpolation and its application to kinetic parameter estimations被引量:19收藏 分享
作者:Yang, Yihang Zong, Xuepeng Yao, Dacheng Li, Shaojun
机构:East China Univ Sci & Technol
来源:APPLIED SOFT COMPUTING  2017
关键词:Alopex   Evolutionary algorithm   Quadratic interpolation   Kinetic parameter estimation  
价格不确定情况下炼厂生产计划的优化被引量:18收藏 分享
作者:廖国勤 李绍军 阳永荣 吕德伟
机构:浙江大学材料与化工学院联合化学反应工程研究所;华东理工大学自动化研究所
来源:《石油学报(石油加工)》  2002
关键词:多目标规划  生产计划  炼油厂  优化  经营管理  
摘要:生产计划的编制是炼油企业生产经营管理中的一个关键环节 ,然而由于市场变化的不确定性 ,使企业制定长远规划受到限制。笔者将多目标规划应用于炼厂价格不确定情况下生产计划的制定 ,使所得到的生产计划在一定程度上反映市场的变化并...
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一种基于Alopex的进化优化算法被引量:18收藏 分享
作者:李绍军
机构:华东理工大学自动化研究所
来源:《模式识别与人工智能》  2009
关键词:进化算法  模拟退火  函数优化  
摘要:提出一种基于Alopex的进化算法.该算法在迭代过程中从种群中随机选择两个个体,通过计算两个个体自变量和目标函数值的变化情况确定算法进一步搜索方向的概率,逐步迭代最终收敛到全局最优.该算法具备基本进化算法和Alopex算...
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A simultaneous optimization of a flexible heat exchanger network under uncertain conditions被引量:18收藏 分享
作者:Wang, Shihao Tian, Yitong Li, Shaojun
机构:East China Univ Sci & Technol
来源:APPLIED THERMAL ENGINEERING  2021
关键词:Flexible heat exchanger network   Simultaneous synthesis   Uncertain fluctuations   Intelligent optimization algorithm  
Probabilistic WEIghted Copula Regression Model With Adaptive Sample Selection Strategy for Complex Industrial Processes被引量:18收藏 分享
作者:Zhou, Yang Ren, Xiang Li, Shaojun
机构:East China Univ Sci & Technol;Rutgers State Univ
来源:IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS  2020
关键词:Probabilistic logic   Estimation   Training   Adaptation models   Data models   Probability density function   Distribution functions   Active learning   industrial process   Monte Carlo estimation   probabilistic generative model   probabilistic graphical tool   soft sensor   vine copula  
丁二烯第一萃取精馏塔操作参数的优化被引量:17收藏 分享
作者:李绍军 钱锋
机构:华东理工大学自动化研究所
来源:《华东理工大学学报(自然科学版)》  2006
关键词:丁二烯  萃取精馏  溶剂比  模拟  优化  
摘要:利用A SPEN PLU S流程模拟软件对丁二烯第一萃取精馏塔进行模拟计算,在此基础上进行操作变量对塔顶和塔釜关键组分的灵敏度分析,并对第一萃取精馏塔进行溶剂比优化,最后利用神经网络进行建模,预测不同C 4进料情况下的最...
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Mixture of D-Vine copulas for chemical process monitoring被引量:15收藏 分享
作者:Zheng, Wenjing Ren, Xiang Zhou, Nan Jiang, Da Li, Shaojun
机构:East China Univ Sci & Technol
来源:CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS  2017
关键词:Multivariate data   Dependence structures   D-vine copula   Fault detection  
Enhancing Quality of Multivariate Process Monitoring Based on Vine Copula and Active Learning Strategy被引量:14收藏 分享
作者:Zhou, Yang Ren, Xiang Li, Shaojun
机构:East China Univ Sci & Technol;Rutgers State Univ
来源:INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH  2018
关键词:Bayesian networks - Learning systems - Fault detection - Inference engines - Chemical detection - Process control  
Process monitoring method based on correlation variable classification and vine copula被引量:14收藏 分享
作者:Cui, Qun Li, Shaojun
机构:East China Univ Sci & Technol
来源:CANADIAN JOURNAL OF CHEMICAL ENGINEERING  2020
关键词:correlation   fault detection   variable classification   vine copula  
A soft sensor regression model for complex chemical process based on generative adversarial nets and vine copula被引量:13收藏 分享
作者:Chen, Hongmin Jiao, Ling Li, Shaojun
机构:East China Univ Sci & Technol;SupeZET Jingjiang Equipment Mfg Co Ltd
来源:JOURNAL OF THE TAIWAN INSTITUTE OF CHEMICAL ENGINEERS  2022
关键词:Soft sensor   Generative adversarial nets   Samples augment   Vine copula   Generalized local probability  
A new constraint handling method based on the modified Alopex-based evolutionary algorithm被引量:13收藏 分享
作者:Wang, Zhen Li, Shaojun Sang, Zhixiang
机构:E China Univ Sci & Technol
来源:COMPUTERS & INDUSTRIAL ENGINEERING  2014
关键词:AEA   EDA   Constrained optimization problems   Adaptive penalty function  
Simulation and Analysis on Multiple Steady States of an Industrial Acetic Acid Dehydration System被引量:13收藏 分享
作者:Li Shaojun Huang Dingwei
机构:E China Univ Sci & Technol
来源:CHINESE JOURNAL OF CHEMICAL ENGINEERING  2011
关键词:acetic acid dehydration   heterogeneous azeotropic distillation   residue curve   multiple steady states  
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A semi-supervised soft sensor method based on vine copula regression and tri-training algorithm for complex chemical processes被引量:12收藏 分享
作者:Liu, Shisong Li, Shaojun
机构:East China Univ Sci & Technol
来源:JOURNAL OF PROCESS CONTROL  2022
关键词:Soft sensor   Tri-training algorithm   Vine copula   Probability model  
数据挖掘中关联规则算法的研究及应用被引量:12收藏 分享
作者:高杰 李绍军 钱锋
机构:华东理工大学自动化研究所
来源:《东南大学学报(自然科学版)》  2006
关键词:数据挖掘  关联规则  Apriori算法  AprioriTid算法  频繁项集  故障诊断  
摘要:针对Apriori和AprioriTid算法中存在的项集生成瓶颈问题,提出了一种基于事务集压缩、候选项集压缩和支持度布尔矩阵的改进AprioriTid算法.该算法中通过删去不必比较的事务来有效缩减数据集;优化频繁项集的自...
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Process Monitoring and Fault Diagnosis Based on a Regular Vine and Bayesian Network被引量:11收藏 分享
作者:Jia, Qiong Li, Shaojun
机构:East China Univ Sci & Technol
来源:INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH  2020
关键词:Statistical tests - Fault detection - Failure analysis - Process control - Numerical methods - Process monitoring  
A new evolutionary algorithm based on alopex and harmony search algorithm被引量:11收藏 分享
作者:Li, Fei Mei, Zhenzhen Li, Shaojun
机构: Institute of Automation
来源:Proceedings - 2010 6th International Conference on Natural Computation, ICNC 2010  2010
关键词:Heuristic algorithms - Heuristic methods - Simulated annealing  
Influence of p-Xylene (PX) accumulation on the operation of pure terephthalic acid (PTA) solvent dehydratic distillation column被引量:11收藏 分享
作者:Li, Shaojun
机构: Institute of Automation
来源:Industrial and Engineering Chemistry Research  2009
关键词:Operating costs - Xylene - Dehydration  
A Probabilistic Copula-Based Fault Detection Method With TrAdaBoost Strategy for Industrial IoT被引量:10收藏 分享
作者:Zhou, Yang Li, Shaojun
机构:Shanghai Univ;East China Univ Sci & Technol
来源:IEEE INTERNET OF THINGS JOURNAL  2023
关键词:Data models   Training   Industrial Internet of Things   Fault detection   Process monitoring   Principal component analysis   Numerical models   Active learning   fault detection   TrAdaBoost   transfer learning (TL)   vine copula  
An improved AEA algorithm with Harmony Search(HSAEA) and its application in reaction kinetic parameter estimation被引量:10收藏 分享
作者:Ma, Shunlong Dong, Yuehua Sang, Zhixiang Li, Shaojun
机构:E China Univ Sci & Technol
来源:APPLIED SOFT COMPUTING  2013
关键词:Alopex   EDA   Step length   Harmony search   Parameter estimation  
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