| 模糊自组织网络在刀具磨损状态监测中的应用(英文) |
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| 引用本文： | 申志刚,何宁,李亮.模糊自组织网络在刀具磨损状态监测中的应用(英文)[J].南京航空航天大学学报(英文版),2009,26(1). |
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| 作者姓名： | 申志刚 何宁 李亮 |
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| 作者单位： | 南京航空航天大学机电学院,南京,210016,中国 |
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| 基金项目： | 国际科技合作基金，国家科技支撑计划重点基金 |
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| 摘 要： | 应用模糊逻辑和无教师自组织神经网络进行车削过程刀具磨损状态监测.根据典型切削条件组合建立由多个子网络组成的自组织网络阵列,其中每一子网络对应一种典型切削条件,并进行训练.对于具体切削条件,运用模糊逻辑技术选取对应的优化子网络.文中所建名为Fuzzy-SOM-TWC监测系统的运行基于加工过程实时采集的切削力、声发射以及电机电流信号.切削实验用于训练和检验监测系统,实验结果显示其对于刀具磨损状态的识别正确率可达到98%-100%.
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| 关 键 词： | 状态监测 模糊逻辑 自组织网络 |
APPLICATION OF FUZZY LOGIC AND SELF-ORGANIZING NETWORK TO TOOL-WEAR CLASSIFICATION |
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| Shen Zhigang,He Ning,Li Liang.APPLICATION OF FUZZY LOGIC AND SELF-ORGANIZING NETWORK TO TOOL-WEAR CLASSIFICATION[J].Transactions of Nanjing University of Aeronautics & Astronautics,2009,26(1). |
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| Authors: | Shen Zhigang He Ning Li Liang |
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| Institution: | College of Mechanical and Electrical Engineering;NUAA;29 Yudao Street;Nanjing;210016;P.R.China |
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| Abstract: | A tool-wear monitoring system for metal turning operations is presented based on the combinative application of fuzzy logic and unsupervised neural network.A group of self-organizing map(SOM)neural networks is established based on the typical cutting condition combinations,and each of networks is corresponding to a typical cutting condition.For a specific cutting condition,the fuzzy logic method is used to select an optimum trained SOM network.The proposed monitoring system,called the Fuzzy-SOM-TWC,is used ... |
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| Keywords: | condition monitoring fuzzy inference self organizing maps |
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