Customized wavelet for bearing defect detection

被引:27
作者
Holm-Hansen, BT [1 ]
Gao, RX [1 ]
Zhang, L [1 ]
机构
[1] Univ Massachusetts, Dept Mech & Ind Engn, Amherst, MA 01003 USA
来源
JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME | 2004年 / 126卷 / 04期
关键词
D O I
10.1115/1.1850534
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a new, structural dynamics-based wavelet transformation technique for bearing defect detection. Specifically, a customized wavelet was developed analytically, using the scaling function derived from the actual impulse response of a ball bearing. Experiments under various loading conditions have confirmed that the customized wavelet provides a better match to the defect-induced signals of the bearing than a standard wavelet commonly used in the literature and is, thus, more effective in detecting bearing structural defects.
引用
收藏
页码:740 / 745
页数:6
相关论文
共 33 条
[1]   MONITORING AND DIAGNOSIS OF ROLLING ELEMENT BEARINGS USING ARTIFICIAL NEURAL NETWORKS [J].
ALGUINDIGUE, IE ;
LOSKIEWICZBUCZAK, A ;
UHRIG, RE .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 1993, 40 (02) :209-217
[2]  
[Anonymous], 1993, Ten Lectures of Wavelets
[3]  
[Anonymous], 1997, A Wavelet Tour of Signal Processing
[4]  
BERGGREN JC, 1988, VIBRATIONS, V4, P5
[5]  
Burrus C.S., 1998, introduction to Wavelets and Wavelet Transforms-A Primer
[6]  
CHEUNG C, 1992, P ICASSP IEEE IN C A, V4, P361
[7]  
CUI CK, WAVELET THEORY ALGOR
[8]  
DUQUETTE A, 1998, 9398 APA FAA OFF PUB
[9]  
GODDARD KN, 1995, LUBR ENG, V51, P481
[10]  
Gupta P.K., 1984, Advanced Dynamics of Rolling Elements