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A study on the diagnosis of compound faults in rolling bearings based on ITD-SVD.

Authors :
Xiang Pan
Mingyue Yu
Guanglei Meng
Wangying Chen
Source :
Journal of Vibroengineering. May2021, Vol. 23 Issue 3, p587-602. 16p.
Publication Year :
2021

Abstract

Considering the difficulty in the diagnosis of compound faults in rolling bearings, the paper combines Intrinsic Time-scale Decomposition (ITD) and Singular Value Decomposition (SVD) for extracting the characteristics of compound faults from rolling bearings. Rotational components obtained from ITD decomposition are denoised according to Singular Value Decomposition algorithm; signal is reconstructed by denoised rotational components; at last, characteristics of compound faults of rolling bearings are extracted by Hilbert spectrum envelope of reconstructed signal. In validation, the paper has made a comparative study on the proposed ITD-SVD method and conventional one based on ITD algorithm and PCA method, and the result shows that ITD-SVD method works better on noise control and thereby provides more precise extraction of characteristic frequency of compound faults from rolling bearings of aero-engine. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13928716
Volume :
23
Issue :
3
Database :
Academic Search Index
Journal :
Journal of Vibroengineering
Publication Type :
Academic Journal
Accession number :
150327630
Full Text :
https://doi.org/10.21595/jve.2020.21590