The Wavelet Analysis and Processing of Weak Vibration Signal

Abstract:

Signal measuring is an important link in machine fault diagnosis. Accurate and reliable fault signals can be achieved by reasonable signal measuring. When the distance between sensor and measuring gear or bearing is comparatively far, the collected signals became weak and disturbed by other vibratory signals in equipments on bearing and gear fault analysis. Useful signals often were submerged in powerful noise, so caused difficult in extracting fault feature. In this paper, according to the feature of vibratory signals in machine test, wavelet analysis basic theory was applied on researching basic feature of wavelet analysis. By selecting suitable wavelet function and applying wavelet elimination noise technology the signal to noise ratio of signal was raised, thus the vibratory impact component can be measured in weak signals. Finally, wavelet analysis was applied on bearing fault diagnosis.

• Periodical: Advanced Materials Research (Volumes 189-193)
• Pages: 1426-1431
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.189-193.1426
• Online since: February 2011
• Authors: Ze Ning Xu, Hong Yu Liu, Yong Guo Zhang
• Keywords: Fault Diagnosis, Measuring, Wavelet Analysis, Weak Vibratory Signal

References

[1] Shunming Li and Xianglian Li: Modern Analysis Technology and Application of Vibration Signal (Nation Defense Industry Publishing House, Beijing 2008). In Chinese.

[2] Ji Wang and Xiao Hu: Vibration Signal Processing by Applying MATLAB (Hydraulic and Hydroelectric Publishing House, Beijing 2006). In Chinese.

[3] Zhi Gao and Xiaohai Yu: MATLAB Wavelet Analysis Toolbox Principle and Application (Nation Defense Industry Publishing House, Beijing 2004). In Chinese.