搜索结果: 31-39 共查到“知识库 化工系统优化”相关记录39条 . 查询时间(5.469 秒)
A new superstructure form of heat exchanger networks (HEN) is proposed based on expert system (ES).The new superstructure form is combined with the practical engineering. The different investment co...
基于一类组织P系统的模拟移动床的多目标优化
simulated moving bed tissue P systems multiobjective optimization Pareto optimality
2009/3/9
The binaphthol enantiomers separation process using simulation moving bed technology is simulated with the true moving bed approach (TMB). In order to systematically optimize the process with multiple...
解析导数及稀疏矩阵技术在大规模过程优化命题中的应用
large-scale optimization open-equation sequential quadratic programming
2009/3/6
The performance of analytical derivative and sparse matrix techniques applied to a traditional dense sequential quadratic programming (SQP) is studied, and the strategy utilizing those techniques is a...
In this paper, a new approach using artificial neural network and genetic algorithm for the optimizationof the thermally coupled distillation is presented. Mathematical model can be constructed with...
This paper addresses the application of stochastic optimization approaches to the synthesis of heatintegrated complex distillation system, which is characterized by large-scale combinatorial feature...
随机填充中空纤维膜组件中非稳态渗透传质数学模型
膜分离技术 数学模型 光纤模块
2009/2/26
Based on the membrane-based absorption experiment of CO2 into water, shell-side flow distribution and mass transfer in a randomly packed hollow fiber module have been analyzed using subchannel model a...
在线自适应批次过程监视的双滑动窗口MPCA方法
双滑动窗口 在线自适应监视 复合主成分分析
2009/2/23
Online monitoring of chemical process performance is extremely important to ensure the safety of a chemical plant and consistently high quality of products. Multivariate statistical process control ha...
基于最大水回用规则的遗传算法用水网络优化
网络优化 遗传算法
2009/2/7
超结构用水网络规模大、结构复杂、求解比较困难。本文提出了基于最大水回用规则的遗传算法用水网络优化设计方法，该方法按出口浓度的单调性进行排列，使进口浓度或出口浓度达最大值以确定用水量，简化了用水网络超结构及数学模型。以最小新鲜水量为目标，以过程之间回用水量和废水量为基因，对简化后的用水网络运用遗传算法进行了优化设计。遗传算法采用浮点数编码方法，运用了算术交叉技术和种群间交叉技术。计算实例表明，本文所...
用于过程故障诊断的自适应kernel学习网络分类器
模式分类器 统计学习理论
2008/12/29
提出一种统一的最小二乘kernel学习框架，将自适应kernel学习（AKL）网络辨识器推广为分类器，用于化工过程的故障诊断。推导了AKL分类器在向后缩减和向前增长两种情况下的递推算法，实现了对记忆样本长度的控制。该分类器无需利用历史故障数据，即可进行在线学习并建立过程诊断模型。通过对Tennessee Eastman（TE）过程的5种典型故障的诊断分析，验证了该方法的有效性。