基于小波的电火花铣削加工间隙信号去噪效果比较  

The De-nosing Results Comparison of ED-milling Gaps Signal based on Wavelet

作　　者：沈蓉[1] 刘永红[1] 纪仁杰[1] 

机构地区：[1]中国石油大学(华东)机电工程学院,山东东营257061

出　　处：《电加工与模具》2010年第5期31-33,共3页Electromachining & Mould

基　　金：国家自然科学基金资助项目(50675225);山东省科技攻关项目(2006GG2204001)

摘　　要：根据电火花铣削加工间隙信号特点,选择了合适的基小波进行去噪处理,并比较了一维平稳小波、小波模极大与小波包在同一组信号去噪效果的优劣;对比研究了同一小波函数支集长短与去噪效果之间的关系,探讨了利用小波进行信号去噪的进一步发展方向。According to the characteristics of ED-milling gap signal for non-conductive engineering ceramics, the suitable basic wavelet was chose to de-noise. The method of de-noising include stationary wavelet transform （SWT）, wavelet modulus maximum （WMM）, and wavelet packet. The results of de-nosing for the same sample were compared. The relationship between the wavelet support and the de-noising result was investigated. The development trend of wavelet de-noising application was discussed.

关 键 词：电火花铣削 间隙信号 小波去噪 MATLAB 

分 类 号：TG661[金属学及工艺—金属切削加工及机床]