A study on the extraction of characteristics of compound faults of rolling bearings based on ITD-AF-CAF
In view of the cyclostationary characteristics of vibration signals from aero-engine, the combination of cyclic autocorrelation function and intrinsic timescale decomposition (ITD) has been proposed. According to the proposed method, vibration signals are decomposed by ITD algorithm to obtain the au...
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JVE International
2021
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oai:doaj.org-article:7a9aedd4a77c459097eb9709094595082021-11-15T19:20:56ZA study on the extraction of characteristics of compound faults of rolling bearings based on ITD-AF-CAF1392-87162538-846010.21595/jve.2021.21884https://doaj.org/article/7a9aedd4a77c459097eb9709094595082021-08-01T00:00:00Zhttps://www.jvejournals.com/article/21884https://doaj.org/toc/1392-8716https://doaj.org/toc/2538-8460In view of the cyclostationary characteristics of vibration signals from aero-engine, the combination of cyclic autocorrelation function and intrinsic timescale decomposition (ITD) has been proposed. According to the proposed method, vibration signals are decomposed by ITD algorithm to obtain the autocorrelation function of proper rotation components (PRC), based on which characteristic extraction and identification of compound faults of rolling bearings is made possible. To validate the effectiveness of method, an analysis has been given to the vibration signals of rolling bearings collected by sensors of different positions in different compound fault modes. As shown by results, the method combining ITD and cyclostationary theory can precisely and effectively extract the characteristic frequency relative to the type of faults and identify the compound faults.Xiangdong GeMingyue YuBaodong QiaoZhongyan AnJVE Internationalarticlerolling elementitdcyclic autocorrelation functioncompound faultsMechanical engineering and machineryTJ1-1570ENJournal of Vibroengineering, Vol 23, Iss 7, Pp 1578-1590 (2021) |
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rolling element itd cyclic autocorrelation function compound faults Mechanical engineering and machinery TJ1-1570 |
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rolling element itd cyclic autocorrelation function compound faults Mechanical engineering and machinery TJ1-1570 Xiangdong Ge Mingyue Yu Baodong Qiao Zhongyan An A study on the extraction of characteristics of compound faults of rolling bearings based on ITD-AF-CAF |
description |
In view of the cyclostationary characteristics of vibration signals from aero-engine, the combination of cyclic autocorrelation function and intrinsic timescale decomposition (ITD) has been proposed. According to the proposed method, vibration signals are decomposed by ITD algorithm to obtain the autocorrelation function of proper rotation components (PRC), based on which characteristic extraction and identification of compound faults of rolling bearings is made possible. To validate the effectiveness of method, an analysis has been given to the vibration signals of rolling bearings collected by sensors of different positions in different compound fault modes. As shown by results, the method combining ITD and cyclostationary theory can precisely and effectively extract the characteristic frequency relative to the type of faults and identify the compound faults. |
format |
article |
author |
Xiangdong Ge Mingyue Yu Baodong Qiao Zhongyan An |
author_facet |
Xiangdong Ge Mingyue Yu Baodong Qiao Zhongyan An |
author_sort |
Xiangdong Ge |
title |
A study on the extraction of characteristics of compound faults of rolling bearings based on ITD-AF-CAF |
title_short |
A study on the extraction of characteristics of compound faults of rolling bearings based on ITD-AF-CAF |
title_full |
A study on the extraction of characteristics of compound faults of rolling bearings based on ITD-AF-CAF |
title_fullStr |
A study on the extraction of characteristics of compound faults of rolling bearings based on ITD-AF-CAF |
title_full_unstemmed |
A study on the extraction of characteristics of compound faults of rolling bearings based on ITD-AF-CAF |
title_sort |
study on the extraction of characteristics of compound faults of rolling bearings based on itd-af-caf |
publisher |
JVE International |
publishDate |
2021 |
url |
https://doaj.org/article/7a9aedd4a77c459097eb970909459508 |
work_keys_str_mv |
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1718426851024568320 |