Fault Feature Extraction of Gearbox Rolling Bearing based on VMD and Fast-kurtogram

The rolling bearing fault signal of the gearbox is difficult to extract effectively due to noise interference. A fault feature extraction method of gearbox rolling bearing based on VMD and fast-kurtogram is proposed. Firstly, the vibration signal of bearing is decomposed into several Intrinsic Mode...

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Main Authors: Xupeng Die, Jianshe Kang, Kuo Chi
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2020-01-01
Series:Jixie chuandong
Subjects:
VMD
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2020.01.024
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author Xupeng Die
Jianshe Kang
Kuo Chi
author_facet Xupeng Die
Jianshe Kang
Kuo Chi
author_sort Xupeng Die
collection DOAJ
description The rolling bearing fault signal of the gearbox is difficult to extract effectively due to noise interference. A fault feature extraction method of gearbox rolling bearing based on VMD and fast-kurtogram is proposed. Firstly, the vibration signal of bearing is decomposed into several Intrinsic Mode Function (IMF) components by VMD, and the component signal with the most prominent fault information is selected by the correlated kurtosis, and then the bandpass filtering is adaptively determined by the fast-kurtogram. Finally, the filtered signal is subjected to squared envelope spectrum analysis to extract fault information. The effectiveness and feasibility of the proposed method are demonstrated by public bearing fault data analysis and gearbox bearing fault experiments.
format Article
id doaj-art-6cb64b0a255846dbbb46d855714270fc
institution Kabale University
issn 1004-2539
language zho
publishDate 2020-01-01
publisher Editorial Office of Journal of Mechanical Transmission
record_format Article
series Jixie chuandong
spelling doaj-art-6cb64b0a255846dbbb46d855714270fc2025-01-10T14:56:05ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392020-01-014414314929795633Fault Feature Extraction of Gearbox Rolling Bearing based on VMD and Fast-kurtogramXupeng DieJianshe KangKuo ChiThe rolling bearing fault signal of the gearbox is difficult to extract effectively due to noise interference. A fault feature extraction method of gearbox rolling bearing based on VMD and fast-kurtogram is proposed. Firstly, the vibration signal of bearing is decomposed into several Intrinsic Mode Function (IMF) components by VMD, and the component signal with the most prominent fault information is selected by the correlated kurtosis, and then the bandpass filtering is adaptively determined by the fast-kurtogram. Finally, the filtered signal is subjected to squared envelope spectrum analysis to extract fault information. The effectiveness and feasibility of the proposed method are demonstrated by public bearing fault data analysis and gearbox bearing fault experiments.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2020.01.024VMD
spellingShingle Xupeng Die
Jianshe Kang
Kuo Chi
Fault Feature Extraction of Gearbox Rolling Bearing based on VMD and Fast-kurtogram
Jixie chuandong
VMD
title Fault Feature Extraction of Gearbox Rolling Bearing based on VMD and Fast-kurtogram
title_full Fault Feature Extraction of Gearbox Rolling Bearing based on VMD and Fast-kurtogram
title_fullStr Fault Feature Extraction of Gearbox Rolling Bearing based on VMD and Fast-kurtogram
title_full_unstemmed Fault Feature Extraction of Gearbox Rolling Bearing based on VMD and Fast-kurtogram
title_short Fault Feature Extraction of Gearbox Rolling Bearing based on VMD and Fast-kurtogram
title_sort fault feature extraction of gearbox rolling bearing based on vmd and fast kurtogram
topic VMD
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2020.01.024
work_keys_str_mv AT xupengdie faultfeatureextractionofgearboxrollingbearingbasedonvmdandfastkurtogram
AT jianshekang faultfeatureextractionofgearboxrollingbearingbasedonvmdandfastkurtogram
AT kuochi faultfeatureextractionofgearboxrollingbearingbasedonvmdandfastkurtogram