The method of fault feature extraction from acoustic emission signals using Wigner-Ville distribution

被引：11

作者：

Bin, G. F. ^{[1
]}

Liao, C. J. ^{[1
]}

Li, X. J. ^{[1
]}

机构：

[1] Hunan Univ Sci & Technol, Hunan Prov Key Lab Hlth Maintenance Mech Equipmen, Xiangtan 411201, Hunan, Peoples R China

来源：

OPTICAL, ELECTRONIC MATERIALS AND APPLICATIONS, PTS 1-2 | 2011年 / 216卷

关键词：

AE signals; Wigner-Ville distribution; fault feature extraction; rolling bearing;

D O I：

10.4028/www.scientific.net/AMR.216.732

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Wigner-Ville distribution (WVD) has the characteristics of very high-energy accumulation and excellent time-frequency resolution. It is a good way to extract fault feature of acoustic emission (AE) signals due to mechanical component broken. The characteristics of typical AE signals initiated by damages are analyzed. Based on the extracting principle of AE signals from damaged components, the WVD analysis method of AE signal is developed. WVD method is employed to the fault diagnosis of rolling bearings with AE technique. The fault features reading from experimental data analysis are clear, accurate and intuitionistic, meantime, the validity and accuracy of WVD method proposed are nice from the experimental results. Therefore, WVD method is useful for condition monitoring and fault diagnosis in conjunction with AE technique.

引用

页码：732 / 737

页数：6

共 9 条

[1] The analysis of non-stationary signals using time-frequency methods [J].