MULTISCALE ANALYSIS OF ENGINEERING SURFACES

被引：90
作者：
CHEN, X
RAJA, J
SIMANAPALLI, S
机构：
[1] Precision Engineering Laboratory Mechanical Engineering, Engineering Science Department, University of North Carolina at Charlotte
[2] Electrical Engineering Department, University of North Carolina at Charlotte
来源：
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE | 1995年 / 35卷 / 02期
关键词：
D O I：
10.1016/0890-6955(94)P2377-R
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Conventional surface characterization techniques involving random process analysis are limited in characterizing multi-scale surface features relevant to manufacturing processes and functions. This paper introduces a novel technique for multi-scale characterization of engineering surfaces by applying wavelet transform. The main advantages of wavelet transform over other existing signal processing techniques are its space-frequency localization and multi-scale view of the components of a signal. Utilizing these properties of wavelet transform, we can effectively apply multi-channel filter banks to the surface data and link the manufacturing and functional aspects of a surface with its multi-scale features. Surfaces produced by typical manufacturing processes are analyzed using wavelet transform, and the usefulness of wavelet transform in the multi-scale analysis of engineering surfaces is demonstrated.
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收藏
页码：231 / 238
页数：8
相关论文
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