Wear State Recognition of NC Tool Based on Multi Sensor

被引：0
|
作者：
Xu, Yanwei [1 ]
Ma, Junda [1 ]
Xie, Tancheng [1 ]
机构：
[1] Henan Univ Sci & Technol, Sch Mechatron Engn, Luoyang 471023, Peoples R China
来源：
2017 5TH INTERNATIONAL CONFERENCE ON MECHANICAL, AUTOMOTIVE AND MATERIALS ENGINEERING (CMAME) | 2017年
基金：
中国国家自然科学基金;
关键词：
multi-sensor; tool wear; wavelet packet analysis; acoustic emission; vibration;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Based on the introduction of the principle of wavelet packet analysis, the acoustic emission sensor and vibration sensor are used to collect the tool wear signal. Then the characteristics of tool wear can be obtained by Orthogonal Experiment. The method of determination about tool wear state can be implemented. Orthogonal Experiment can be used to firstly select the signal feature through this method. Thus, it can obtain the abrasion's influence on signal and analyze other factors' influence on signal. Finally, we can find the feature that properly reflects tool wear degree which is not easy to be influenced by the other factors to improve the discrimination degree of tool wear degree.
引用
收藏
页码：209 / 213
页数：5
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