Performance Evaluation of Complex-valued Wavelet Basis on Vibration Analysis for Bearing Defect Diagnosis

2012 ◽  
Vol 1 (1) ◽  
pp. a14
Keyword(s):  
Performance Evaluation ◽  
Vibration Analysis ◽  
Wavelet Basis ◽  
Bearing Defect ◽  
Defect Diagnosis ◽  
Complex Valued

Effect of the Denoising on Acoustic Emission Signals

2010 ◽  
Vol 132 (3) ◽  
Author(s):  
X. Chiementin ◽  
D. Mba ◽  
B. Charnley ◽  
S. Lignon ◽  
J. P. Dron
Keyword(s):  
Acoustic Emission ◽  
Defect Detection ◽  
Vibration Analysis ◽  
The Self ◽  
Adaptive Noise Cancellation ◽  
Test Rig ◽  
Bearing Defects ◽  
Bearing Defect ◽  
Adaptive Noise ◽  
Statistical Indicators

The acoustic emission (AE) technology is growing in its applicability to bearing defect diagnosis. Several publications have shown its effectiveness for earlier detection of bearing defects than vibration analysis. In the latter instance, detection and monitoring of defects can be achieved through temporal statistical indicators, which can further be improved by application of denoising techniques. This paper investigates the application of temporal statistical indicators for AE detection of bearing defects on a purposely built test-rig and assesses the effectiveness of various denoising techniques in improving sensitivity to early defect detection. It is concluded that the denoising methods offer significant improvements in identifying defects with AE, especially the self-adaptive noise cancellation method.

Sign in / Sign up

Export Citation Format

Share Document