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故障诊断与切削颤振的小波分析
引用本文:蔡志强,吴雅,周笠,杨叔子. 故障诊断与切削颤振的小波分析[J]. 华中科技大学学报(自然科学版), 1993, 0(1)
作者姓名:蔡志强  吴雅  周笠  杨叔子
作者单位:华中理工大学机械工程一系(蔡志强,吴雅),华中理工大学数学系(周笠),华中理工大学机械工程一系(杨叔子)
基金项目:国家自然科学基金资助项目
摘    要:研究小波分析在机械工程信号处理中的应用,提出了通过二进小波变换检测信号奇异点并区分不同奇异类型的实用技术,对典型的机械故障信号进行了小波分析的数值实验,对M_(x-4)车床时变切削颤振进行了小波分析,得到了一些新的结果.

关 键 词:故障诊断  时变切削颤振  多尺度分析  奇异点  奇异指标

A Study of Fault Diagnosis and Cutting Chatter with Wavelets
Cai Zhiqiang Wu Ya Zhou Li Yang Shuzi. A Study of Fault Diagnosis and Cutting Chatter with Wavelets[J]. JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE, 1993, 0(1)
Authors:Cai Zhiqiang Wu Ya Zhou Li Yang Shuzi
Affiliation:Cai Zhiqiang Wu Ya Zhou Li Yang Shuzi
Abstract:The wavelet theory is a newly developed analyzing technique that has been successfully applied in many fields such as image processing, fractal analysing, stock market fluctuation tracking, etc. . This technique is introduced into the mechanical engineering field. After a brief review of the basic wavelet theory and some fast algorithms, a practical technique developed for signal singularity detection and classification is proposed. It is used to detect some typical fault signals and to analyze a time-varying signal of metal cutting chatter in a type Mx-4 lathe. Some exciting results have been obtained.
Keywords:fault diagnosis  time-varying cutting chatter  multiscale analysis  singular point singularity index
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