| 复合神经网络模型在刀具状态监测中的应用 |
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| 引用本文： | 吴学忠,李圣怡.复合神经网络模型在刀具状态监测中的应用[J].航空精密制造技术,1998(6). |
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| 作者姓名： | 吴学忠 李圣怡 |
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| 作者单位： | 国防科技大学机电工程与仪器系 |
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| 基金项目： | 国家自然科学基金,国防预研基金 |
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| 摘 要： | 提出了一种用于刀具状态监测的复合神经网络模型，模型由多个神经网络组成，神经网络的数目等于要监测的刀具故障数目。实验结果表明，该方法不仅可以在多种切削条件下获得较高的识别率，还可以识别出新的刀具故障。
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| 关 键 词： | 刀具状态 监测 神经网络 |
A Composite Neural Network for Tool Condition Monitoring |
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| Wu Xuezhong,Li Shengyi.A Composite Neural Network for Tool Condition Monitoring[J].Aviation Precision Manufacturing Technology,1998(6). |
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| Authors: | Wu Xuezhong Li Shengyi |
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| Abstract: | This paper proposes a composite neural model for tool condition monitoring. It is composed with several neural networks and the number of neural networks is equal to the number of tool faults. Experiments indicate that this method has a high ratio of recognition in a range of cutting condition and even can detect novel tool faults. |
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| Keywords: | tool condition monitoring neural network |
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