IMPROVEMENT OF LCD METHOD AND ITS APPLICATION TO ROLLING BEARING FAULT DIAGNOSIS

The Local characteristic-scale decomposition( LCD) method is improved in this paper. The reason of appearance of the stagnation point on low frequency intrinsic scale component( ISC) is analyzed and a new method which called eliminate stagnation point-based Local characteristic-scale decomposition m...

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Main Authors: LIU Jibiao, CHENG Junsheng, YANG WeiKang
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2016-01-01
Series:Jixie qiangdu
Subjects:
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2016.02.007
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author LIU Jibiao
CHENG Junsheng
YANG WeiKang
author_facet LIU Jibiao
CHENG Junsheng
YANG WeiKang
author_sort LIU Jibiao
collection DOAJ
description The Local characteristic-scale decomposition( LCD) method is improved in this paper. The reason of appearance of the stagnation point on low frequency intrinsic scale component( ISC) is analyzed and a new method which called eliminate stagnation point-based Local characteristic-scale decomposition method is presented. The results from the simulation signal have shown the obvious advantages of the improved LCD method. Based on the improvement of the LCD,the combination of the LCD and envelope analysis is applied to the roller bearing fault diagnosis. The roller bearing vibration signals is composed by the improved LCD into some intrinsic scale component( ISC). The envelope analysis method based on Hilbert is used to analyze the ISCs and the work state of rolling bearing can be identified. The experimental results showed that the improved LCD method and Envelopment analysis method have a good result to apply to the rolling bearing fault diagnosis.
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spelling doaj.art-3534041eb5e747468e17eed7eef36f7b2025-01-15T02:36:45ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692016-01-013824224630594232IMPROVEMENT OF LCD METHOD AND ITS APPLICATION TO ROLLING BEARING FAULT DIAGNOSISLIU JibiaoCHENG JunshengYANG WeiKangThe Local characteristic-scale decomposition( LCD) method is improved in this paper. The reason of appearance of the stagnation point on low frequency intrinsic scale component( ISC) is analyzed and a new method which called eliminate stagnation point-based Local characteristic-scale decomposition method is presented. The results from the simulation signal have shown the obvious advantages of the improved LCD method. Based on the improvement of the LCD,the combination of the LCD and envelope analysis is applied to the roller bearing fault diagnosis. The roller bearing vibration signals is composed by the improved LCD into some intrinsic scale component( ISC). The envelope analysis method based on Hilbert is used to analyze the ISCs and the work state of rolling bearing can be identified. The experimental results showed that the improved LCD method and Envelopment analysis method have a good result to apply to the rolling bearing fault diagnosis.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2016.02.007Local characteristic-scaleDecompositionEnvelopment analysisStagnation pointRoller bearingFault diagnosis
spellingShingle LIU Jibiao
CHENG Junsheng
YANG WeiKang
IMPROVEMENT OF LCD METHOD AND ITS APPLICATION TO ROLLING BEARING FAULT DIAGNOSIS
Jixie qiangdu
Local characteristic-scale
Decomposition
Envelopment analysis
Stagnation point
Roller bearing
Fault diagnosis
title IMPROVEMENT OF LCD METHOD AND ITS APPLICATION TO ROLLING BEARING FAULT DIAGNOSIS
title_full IMPROVEMENT OF LCD METHOD AND ITS APPLICATION TO ROLLING BEARING FAULT DIAGNOSIS
title_fullStr IMPROVEMENT OF LCD METHOD AND ITS APPLICATION TO ROLLING BEARING FAULT DIAGNOSIS
title_full_unstemmed IMPROVEMENT OF LCD METHOD AND ITS APPLICATION TO ROLLING BEARING FAULT DIAGNOSIS
title_short IMPROVEMENT OF LCD METHOD AND ITS APPLICATION TO ROLLING BEARING FAULT DIAGNOSIS
title_sort improvement of lcd method and its application to rolling bearing fault diagnosis
topic Local characteristic-scale
Decomposition
Envelopment analysis
Stagnation point
Roller bearing
Fault diagnosis
url http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2016.02.007
work_keys_str_mv AT liujibiao improvementoflcdmethodanditsapplicationtorollingbearingfaultdiagnosis
AT chengjunsheng improvementoflcdmethodanditsapplicationtorollingbearingfaultdiagnosis
AT yangweikang improvementoflcdmethodanditsapplicationtorollingbearingfaultdiagnosis