Detection of gear failures via vibration and acoustic signals using wavelet transform

被引：173

作者：

Baydar, N ^{[1
]}

Ball, A ^{[1
]}

机构：

[1] Univ Manchester, Manchester Sch Engn, Maintenance Engn Res Grp, Manchester M13 9PL, Lancs, England

来源：

MECHANICAL SYSTEMS AND SIGNAL PROCESSING | 2003年 / 17卷 / 04期

基金：

英国工程与自然科学研究理事会;

关键词：

D O I：

10.1006/mssp.2001.1435

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Vibration analysis is widely used in machinery diagnostics and the wavelet transform has also been implemented in many applications in the condition monitoring of machinery. In contrast to previous applications, this paper examines whether acoustic signal can be used effectively along vibration signal to detect the various local faults in gearboxes using the wavelet transform. Two commonly encountered local faults, tooth breakage and tooth crack, were simulated. The results from acoustic signals were compared with vibration signals. The results suggest that acoustic signals are very affective for the early detection of faults and may provide a powerful tool to indicate the various types of progressing faults in gearboxes. (C) 2003 Published by Elsevier Science Ltd.

引用

页码：787 / 804

页数：18

共 24 条

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