摘要
奇异性信号往往带有一些重要信息，小波是奇异性检测的一种有力工具．本文研究了几种常用小波对不同奇异性信号的检测效果，通过对比分析，对不同的奇异性信号，推荐出了优先选用的小波基，并实际应用于刀具磨损时切削力信号的分析．
Singular signal always brings some important information in the diagnosis field and wavelet is an useful tool to detect singularity. Several wavelets' effect on singularity detection is analyzed and compared with each other in this paper. Based on these results, the best wavelet base is recommended according to the characteristic of different singular signal. And the cutting force signal, which is the singular signal when the tool is worn, is used to test the performance of these wavelet bases.
出处
《华南理工大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2000年第10期75-80,共6页
Journal of South China University of Technology(Natural Science Edition)
基金
广东省自然科学基金资助项目(980396)
关键词
奇异性检测
小波变换
切削力信号
金属加工
singularity detection
Lip index
wavelet transformation
cutting force signal
