Paper Info
Title
An Effective Envelope Analysis Using Gaussian Windows for Evaluation of Fault Severity in Bearing.
Abstract
This paper proposes an efficient method for evaluation of the fault severity in bearing using the discrete wavelet packet transform (DWPT) and the envelope analysis. The acoustic emission (AE) signals for each defect are first decomposed to the sub-band signals. The envelope power spectrum analysis is performed on each sub-band to detect the frequency periodic impulses showing the abnormal symptoms of bearing defects. It is essential to select an optimal sub-band for reliable assessment of the fault severity in bearing. A ratio of defect spectral component to residual spectral component (RDR) is calculated from their envelope power spectrum using the Gaussian window for an optimal sub-band selection which shows clearly information about failures. As a result, the severe degree of bearing defects is assessed based on the RDR calculation. The effectiveness of the proposed scheme is validated through experimental results of evaluating the different fault conditions under variable crack size in bearing.
Year
DOI
Venue
2018
10.1007/978-981-13-1056-0_46
Lecture Notes in Electrical Engineering
Keywords
Field
DocType
AE signal,Bearing fault severity,Envelope analysis,DWPT Sub-band analysis
Spectral component,Residual,Computer science,Algorithm,Bearing (mechanical),Spectral density,Gaussian,Fault severity,Acoustic emission,Periodic graph (geometry)
Conference
Volume
ISSN
Citations 
514
1876-1100
0
PageRank 
References 
Authors
0.34
4
3
Name
Order
Citations
PageRank
Hung Nguyen Ngoc110.69
Jaeyoung Kim2777.21
Jong Myon Kim314432.36