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奇异性信号检测时小波基的选择
引用本文:赵学智,林颖,陈文戈,陈统坚,叶邦彦.奇异性信号检测时小波基的选择[J].华南理工大学学报(自然科学版),2000,28(10):75-80.
作者姓名:赵学智  林颖  陈文戈  陈统坚  叶邦彦
作者单位:1. 华南理工大学,机电系,广东,广州,510640
2. 广东工业大学,机电系,广东,广州,510090
基金项目:广东省博士启动基金,980396,
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。

关 键 词:奇异性检测  小波变换  切削力信号  金属加工
修稿时间:1999-11-10

The Choice of Wavelet Bases for Singular Signal Detection
ZHAO Xue-zhi,LIN Ying,CHEN Wen-ge,CHEN Tong-jian,YE Bang-yan.The Choice of Wavelet Bases for Singular Signal Detection[J].Journal of South China University of Technology(Natural Science Edition),2000,28(10):75-80.
Authors:ZHAO Xue-zhi  LIN Ying  CHEN Wen-ge  CHEN Tong-jian  YE Bang-yan
Abstract: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.
Keywords:singularity detection  Lip index  wavelet transformation  cutting force signal
本文献已被 CNKI 维普 万方数据 等数据库收录!
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