Paper Title:
Wavelet Selection for Bearing Defect Diagnosis
  Abstract

This paper introduces a quantitative measure based on the energy-to-Shannon entropy ratio for base wavelet selection in vibration signal analysis. The Gaussian-modulated sinusoidal signal and a realistic vibration signal measured from a ball bearing have been used to evaluate the effectiveness of the measure. Experimental results demonstrate that the wavelet selected using the developed measure is effective in diagnosing structural defects in the bearing and the method developed provides systematic guidance in wavelet selection.

  Info
Periodical
Key Engineering Materials (Volumes 413-414)
Edited by
F. Chu, H. Ouyang, V. Silberschmidt, L. Garibaldi, C.Surace, W.M. Ostachowicz and D. Jiang
Pages
575-582
DOI
10.4028/www.scientific.net/KEM.413-414.575
Citation
R. Q. Yan, R. X. Gao, "Wavelet Selection for Bearing Defect Diagnosis", Key Engineering Materials, Vols. 413-414, pp. 575-582, 2009
Online since
June 2009
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Jin Ying Huang, Hong Xia Pan, Shi Hua Bi
Abstract:Fault feature extraction and application is the key technology of fault diagnosis. In this paper, a fault diagnosis method using bispectrum...
708
Authors: Ming Zhi Pan, Hong Xia Pan, Run Peng Zhao
Chapter 6: Frontiers of Mechanical Engineering (1)
Abstract:Online monitoring and fault diagnosis is an important link of guaranteeing the equipment smooth operation and reliable working, which...
3175
Authors: Hong Wei Ma, Qing Hua Mao, Xu Hui Zhang, Da Wei Zhang, Hai Yu Chen
Chapter 3: Mechatronics and Automation
Abstract:Because of steel cord conveyor belt with high load operating and complex conditions of coal mine, it is prone to cause conveyor belt...
1814
Authors: Wei Dong Cheng, Tian Yang Wang, Wei Gang Wen, Heng Wang, Jian Yong Li
Chapter 12: Computer-Aided Design, Manufacturing and Engineering
Abstract:Some of the critical and practical issues regarding the problem of condition monitoring of mobile equipment have been discussed, and an...
3753
Authors: Wen Bin Zhang, Yan Ping Su, Yan Jie Zhou, Ya Song Pu
Chapter 7: Mechatronics, Measurements and Control
Abstract:In this paper, a novel method to recognize gear fault pattern was approached based on multi-scale morphological undecimated wavelet...
369