Application of regularization dimension to gear damage assessment

被引：45

作者：

Feng, Zhipeng ^{[1
,3
]}

Zuo, Ming J. ^{[3
]}

Chu, Fulei ^{[2
]}

机构：

[1] Univ Sci & Technol Beijing, Inst Vehicular Engn, Beijing 100083, Peoples R China

[2] Tsinghua Univ, Dept Precis Instruments, Beijing 100084, Peoples R China

[3] Univ Alberta, Dept Mech Engn, Edmonton, AB T6G 2G8, Canada

来源：

MECHANICAL SYSTEMS AND SIGNAL PROCESSING | 2010年 / 24卷 / 04期

基金：

加拿大自然科学与工程研究理事会; 中国国家自然科学基金;

关键词：

Gear; Localized damage; Fractal dimension; Regularization dimension; Gaussian kernel; FAULT-DIAGNOSIS;

D O I：

10.1016/j.ymssp.2009.08.006

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Fractal dimension provides a measure of the complexity of a dynamic system, and contains the health information of a machine. The basics of regularization dimension and the effects of Gaussian kernel parameters on the regularization of a signal are introduced. Regularization dimension has advantages over other fractal dimensions because the scale-independent range can be selected according to the signal frequency components of interest. Experimental gearbox vibration signals are analyzed by means of spectral analysis firstly, and then according to the spectral structure, the scale-independent range is selected for computing the regularization dimension, which increases monotonically with increasing gear damage degree. Comparison with correlation dimension and kurtosis shows the advantages of regularization dimension in assessing the localized gear damage. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：1081 / 1098

页数：18

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