摘要
在介绍小波包分析原理的基础上,阐述了利用声发射传感器和振动传感器采集刀具磨损信号,并通过正交试验法获取判定刀具磨损程度的特征,进而实现刀具磨损状态判定的一种方法。此方法特别是在信号特征的选取方面,首次采用正交试验法进行特征的选取,这样既可以得到磨损程度对信号的影响程度,又能分析其它因素对信号的影响,最终可以找到能够很好的反映刀具磨损程度而不易受其它因素影响的特征,进而可以提高磨损程度判别的准确度。
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.
作者
颉潭成
马君达
袁子皓
徐彦伟
XIE Tan-cheng MA Jun-da YUAN Zi-hao XU Yan-wei(School of Mechanical and Electrical Engineering, Henan University of Science and Technology, Luoyang Henan 471003, China)
出处
《组合机床与自动化加工技术》
北大核心
2016年第9期28-31,共4页
Modular Machine Tool & Automatic Manufacturing Technique
基金
国家自然科学基金青年基金资助项目(51305127)
河南省教育厅科学技术研究重点项目(14A460018)
关键词
多元传感器
刀具磨损
小波包分析
声发射
multi-sensor
tool wear
wavelet packet analysis
acoustic emission
