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碳纤维原丝纺丝过程的在线监控协同式专家系统
引用本文:周强,丁永生,郝矿荣,王华平. 碳纤维原丝纺丝过程的在线监控协同式专家系统[J]. 石油化工自动化, 2012, 48(1): 56-59
作者姓名:周强  丁永生  郝矿荣  王华平
作者单位:1. 东华大学信息科学与技术学院,上海,201620
2. 东华大学信息科学与技术学院,上海201620/数字化纺织服装技术教育部工程研究中心,上海201620
3. 东华大学材料科学与工程学院,上海,201620
基金项目:国家自然科学基金重点项目,国家自然科学基金,教育部高等学校博士学科点专项科研基金,上海市优秀学术带头人计划项目,上海市科学技术委员会重点基础研究项目,上海巾科学技术委员会技术标准专项
摘    要:提出了一种针对碳纤维原丝纺丝过程的在线监控协同式专家系统,以NetCon网络化控制系统为硬件壤础建立碳纤维原丝纺丝在线监测系统,利用RBF神经网络建立原丝性能在线预测模型,同时引入遗传算法,增强该神经网络模型的适应性和学习能力。以上述RBF神经网络模型为基础,建立碳纤维原丝纺丝监控协同式专家系统,对影响碳纤维原丝性能的主要指标因素进行调节和配置。该方法为碳纤维原丝纺丝在线监控提出了一种新的思路,并获得了满意的监控效果。

关 键 词:RBF神经网络  协同式专家系统  原丝纺丝  在线监控

A Collaborative Expert System for Online Monitoring of Carbon Fibers Spinning Process
Zhou Qiang,a,Ding Yongsheng,a,Hao Kuangrong,a,Wang Huaping. A Collaborative Expert System for Online Monitoring of Carbon Fibers Spinning Process[J]. Automation in Petro-chemical Industry, 2012, 48(1): 56-59
Authors:Zhou Qiang  a  Ding Yongsheng  a  Hao Kuangrong  a  Wang Huaping
Affiliation:1b(1.DongHua University,a.College of Information Sciences and Technology; b.College of Material Science and Technology,Shanghai,201620,China; 2.Engineering Research Center of Digitized Textile & Fashion Technology, Ministry of Education,Shanghai,201620,China)
Abstract:A collaborative expert system for online monitoring of carbon fiber spinning process is presented.Carbon fiber spinning online monitoring system is established using NetCon network control system as hardware.Fiber quality prediction model using RBF neural network is built.Genetic algorithm is used to enhance the adaptability of the neural network model and learning ability.The established spinning optimization expert system based on RBF neural network model is used to adjust and configure the main factors influencing carbon fibers quality.The method proposes a new idea in carbon fibers spinning process optimization,and achieves desired result for online optimization of carbon fibers spinning process.
Keywords:RBF neural network  collaborative expert system  carbon fibers spinning  online optimization
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