| 基于多参量状态信息融合的刀具磨损状态智能识别 |
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| 引用本文： | 路勇,姚英学,许宏岩.基于多参量状态信息融合的刀具磨损状态智能识别[J].航空精密制造技术,1999,35(6):2. |
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| 作者姓名： | 路勇 姚英学 许宏岩 |
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| 作者单位： | 哈尔滨工业大学机电学院,150001 |
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| 摘 要： | 鉴于刀具磨损监控在自动化生产中的重要性，建立了基于切削力和基于相对切削时间的两种磨损检测模型．切削力模型是利用回归算法和模糊分类技术建立的，通过检测切削力信号可在线识别刀具磨损状态．基于相对切削时间模型利用回归技术直接建立刀具磨损量与切削参数及时间的关系，可在较大的切削条件变化范围内实现对刀具磨损的识别．
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| 关 键 词： | 刀具磨损 切削力 模糊分类 智能识别 建模 |
| 修稿时间： | 1999-07 |
Tool Wear Intelligence Recognition Based on Multi-variable Parameter |
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| Lu Yong,Yao Yingxue,Xu Hongyan.Tool Wear Intelligence Recognition Based on Multi-variable Parameter[J].Aviation Precision Manufacturing Technology,1999,35(6):2. |
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| Authors: | Lu Yong Yao Yingxue Xu Hongyan |
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| Institution: | Yu Yong ;Yao Yingxue;Xu Hongyan |
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| Abstract: | Two wear detecting models are built in this paper,one based on cutting force ,the other on relative cutting time The former one is built with regression algorithm and fuzzy classification And the wear state can be detected on the actual force through the model The latter one has established the direct relation among cutting time ,cutting parameters and tool wear, which can achieve tool wear detecting in a larger scope of tool condition |
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| Keywords: | tool wear cutting force fuzzy classification intelligent recognition modeling |
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