| 深孔加工刀具状态监测的研究 |
| |
| 引用本文： | 王江萍,李飞.深孔加工刀具状态监测的研究[J].现代制造工程,2003(9):59-61. |
| |
| 作者姓名： | 王江萍 李飞 |
| |
| 作者单位： | 西安石油学院机械系,710065 |
| |
| 摘 要： | 通过应变式传感器和振动传感器采集力与水平振动信号 ,提取了切削力信号的四阶中心矩和水平振动信号的特征频率谱峰 ,并将模式识别技术应用于刀具状态监测 ,利用感知器算法得到刀具状态的分类函数进行刀具状态识别 ;试验结果表明 ,该方法具有较高的识别精度和较强的抗干扰能力
|
| 关 键 词： | 深孔加工 状态监测 模式识别 |
| 文章编号： | 1671-3133(2003)09-0059-03 |
| 修稿时间： | 2003年2月14日 |
Study on tool condition monitoring of deep-hole processing |
| |
| Wang Jiangping,Li Fei.Study on tool condition monitoring of deep-hole processing[J].Modern Manufacturing Engineering,2003(9):59-61. |
| |
| Authors: | Wang Jiangping Li Fei |
| |
| Abstract: | Adopts a strain sensor and a vibration sensor collecting force signal and horizontal vibration signal.Fourth order center moment of cutting force signal and characteristic frequency spectrum peak of horizontal vibration signal are chosen.And pattern identification technique is applied into tool condition monitoring.A class function of tool condition is gained by using anesthesia implement algorithm in order to find way into tool condition identification.As a result of test,this method has upper identifiable precision and stronger anti-jamming ability. |
| |
| Keywords: | Deep-hole processing Condition monitoring Pattern recognition |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
