Study on the Preprocessing Method of Rolling Bearing Signal based on LFK and Entropy Difference Spectrum Criterion

Aiming at the problem that the fault feature of rolling bearing can be easily overwhelmed by random noise,a novel denoising method on the basis of local characteristic- scale decomposition and Fast Kurtogram( LFK) is presented. Firstly,the signal is decomposed by local characteristic- scale decompos...

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Main Authors: Yu He, Li Hongru, Sun Jian, Xu Baohua
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2016-01-01
Series:Jixie chuandong
Subjects:
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.12.007
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author Yu He
Li Hongru
Sun Jian
Xu Baohua
author_facet Yu He
Li Hongru
Sun Jian
Xu Baohua
author_sort Yu He
collection DOAJ
description Aiming at the problem that the fault feature of rolling bearing can be easily overwhelmed by random noise,a novel denoising method on the basis of local characteristic- scale decomposition and Fast Kurtogram( LFK) is presented. Firstly,the signal is decomposed by local characteristic- scale decomposition( LCD) and entropy difference spectrum is proposed to choose and reconstruct the component signals. However,the residual noise may still exist in the reconstructed signal. So in order to remove noise interference to some degree,the Fast Kurtogram is applied to enhance the filtering and denoising effect further. Meanwhile,and the bearing fault feature information is well preserved. At last,the validity of the method is tested and verified by the simulation signal and the inner ring fault signal of rolling bearing.
format Article
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institution Kabale University
issn 1004-2539
language zho
publishDate 2016-01-01
publisher Editorial Office of Journal of Mechanical Transmission
record_format Article
series Jixie chuandong
spelling doaj-art-fd73479239f74756b09083ba9219e6e32025-01-10T14:14:32ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392016-01-0140323729927716Study on the Preprocessing Method of Rolling Bearing Signal based on LFK and Entropy Difference Spectrum CriterionYu HeLi HongruSun JianXu BaohuaAiming at the problem that the fault feature of rolling bearing can be easily overwhelmed by random noise,a novel denoising method on the basis of local characteristic- scale decomposition and Fast Kurtogram( LFK) is presented. Firstly,the signal is decomposed by local characteristic- scale decomposition( LCD) and entropy difference spectrum is proposed to choose and reconstruct the component signals. However,the residual noise may still exist in the reconstructed signal. So in order to remove noise interference to some degree,the Fast Kurtogram is applied to enhance the filtering and denoising effect further. Meanwhile,and the bearing fault feature information is well preserved. At last,the validity of the method is tested and verified by the simulation signal and the inner ring fault signal of rolling bearing.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.12.007LCDEntropy difference spectrumFast KurtogramDenoisingRolling bearing
spellingShingle Yu He
Li Hongru
Sun Jian
Xu Baohua
Study on the Preprocessing Method of Rolling Bearing Signal based on LFK and Entropy Difference Spectrum Criterion
Jixie chuandong
LCD
Entropy difference spectrum
Fast Kurtogram
Denoising
Rolling bearing
title Study on the Preprocessing Method of Rolling Bearing Signal based on LFK and Entropy Difference Spectrum Criterion
title_full Study on the Preprocessing Method of Rolling Bearing Signal based on LFK and Entropy Difference Spectrum Criterion
title_fullStr Study on the Preprocessing Method of Rolling Bearing Signal based on LFK and Entropy Difference Spectrum Criterion
title_full_unstemmed Study on the Preprocessing Method of Rolling Bearing Signal based on LFK and Entropy Difference Spectrum Criterion
title_short Study on the Preprocessing Method of Rolling Bearing Signal based on LFK and Entropy Difference Spectrum Criterion
title_sort study on the preprocessing method of rolling bearing signal based on lfk and entropy difference spectrum criterion
topic LCD
Entropy difference spectrum
Fast Kurtogram
Denoising
Rolling bearing
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.12.007
work_keys_str_mv AT yuhe studyonthepreprocessingmethodofrollingbearingsignalbasedonlfkandentropydifferencespectrumcriterion
AT lihongru studyonthepreprocessingmethodofrollingbearingsignalbasedonlfkandentropydifferencespectrumcriterion
AT sunjian studyonthepreprocessingmethodofrollingbearingsignalbasedonlfkandentropydifferencespectrumcriterion
AT xubaohua studyonthepreprocessingmethodofrollingbearingsignalbasedonlfkandentropydifferencespectrumcriterion