| 基于神经网络多传感器融合的刀具摩损定量监测的研究 |
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| 引用本文： | 梁建成,杨叔子.基于神经网络多传感器融合的刀具摩损定量监测的研究[J].机械科学与技术(西安),1995(6):125-130,150. |
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| 作者姓名： | 梁建成 杨叔子 |
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| 作者单位： | 国防科技大学，华中理工大学 |
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| 摘 要： | 研究了前馈神经网络（ＦＮＮ）的自构造型学习算法，提出了基于神经网络多传感器融合的一般结构及刀具磨损监测方法，讨论了多传感器的选择、多传感器信号的采集与预处理以及多传感器信号的特征选择与正规化处理，并就铣削过程的刀具磨损监测进行了实验研究，结果表明，所提出的方法可获得９３％的识别率。
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| 关 键 词： | 神经网络，多传感器融合，刀具磨损，监测 |
Tool Wear Monitoring on the Basis of Multisensor Fusionby Neural Network |
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| Liang Jiancheng,Li Shengyi,Wen Xisen,Yang Shuzi.Tool Wear Monitoring on the Basis of Multisensor Fusionby Neural Network[J].Mechanical Science and Technology,1995(6):125-130,150. |
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| Authors: | Liang Jiancheng Li Shengyi Wen Xisen Yang Shuzi |
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| Abstract: | This paper studies structural learning algorithm of feed forward neural network(FNN)and presents a new methed of tool wear monitoring n the basis of multisensor fusion by neural network. The selections of muItisensor,the acquisition ,preprocess,features selection and the normalization of multisensor signals are discussed. The experiments of tool wear mon-itoring for the milling process are implemented.The results showed that the recognition rateof the method is up to 93%and it is effective on tool wear monitoring. |
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| Keywords: | Neural network Multisensor fusion Tool wear Monitoring |
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