Morphological characterisation of engineered surfaces by wavelet transform

被引：65

作者：

Lee, SH ^{[1
]}

Zahouani, H ^{[1
]}

Caterini, R ^{[1
]}

Mathia, TG ^{[1
]}

机构：

[1] Ecole Cent Lyon, Inst Europeen Tribol, UMR CNRS 5513, Lab Tribol & Dynam Syst, F-69131 Ecully, France

来源：

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE | 1998年 / 38卷 / 5-6期

关键词：

D O I：

10.1016/S0890-6955(97)00105-3

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This work introduces a wavelet transform technique based on the detection of the multi-scale view of the components of a signal, The main advantages of wavelet transform over the existing signal processing techniques are its space-frequency localization and multi-scale analysis of roughness and waviness motifs, After an extensive review of the mathematical and signal processing fundamentals of the wavelet technique, numerical implementations are carried out to explore the potential applications of wavelet transform and its inverse transform multi-scale analysis of roughness and local morphological characterization by the detection of the roughness singularities and 2D motif size of an engineered surface. (C) 1998 Elsevier Science Ltd.

引用

页码：581 / 589

页数：9

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