Composite Fault Feature Extraction of Gearbox based on CPFs

Due to the improper selection of the method,the leakage diagnosis or misdiagnosis usually occurs when the composite fault features in the gearbox are extracted. As a result of noise,there will be the phenomena of mode aliasing after LMD decomposition. In view of this,a hybrid fault diagnosis method...

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Main Authors: Ye Meitao, Chai Huili
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2018-01-01
Series:Jixie chuandong
Subjects:
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.12.032
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author Ye Meitao
Chai Huili
author_facet Ye Meitao
Chai Huili
author_sort Ye Meitao
collection DOAJ
description Due to the improper selection of the method,the leakage diagnosis or misdiagnosis usually occurs when the composite fault features in the gearbox are extracted. As a result of noise,there will be the phenomena of mode aliasing after LMD decomposition. In view of this,a hybrid fault diagnosis method of the gearbox based on CPFs-MOMEDA is proposed. First,the original signal is denoised by LMD,and a series of PFs are obtained. And the false component and the residual component are removed by the correlation coefficient method. Then,the definition of multi-point kurtosis is introduced,and the fault feature period is extracted by calculating the multi-point kurtosis spectrum of each layer of PF,and the PF without periodic impact is eliminated. In order to maintain the integrity of the original signal,PFs with the same period are recombined by the combined product function method. Finally,the recombinant signal is denoised by MOMEDA by setting different period intervals to further extract the fault characteristics. And the method is applied to the feature extraction of gearbox composite faults to verify the feasibility.
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institution Kabale University
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spelling doaj-art-2da705e1218648c0859e7d1daaccce162025-01-10T14:39:32ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392018-01-014217017429939961Composite Fault Feature Extraction of Gearbox based on CPFsYe MeitaoChai HuiliDue to the improper selection of the method,the leakage diagnosis or misdiagnosis usually occurs when the composite fault features in the gearbox are extracted. As a result of noise,there will be the phenomena of mode aliasing after LMD decomposition. In view of this,a hybrid fault diagnosis method of the gearbox based on CPFs-MOMEDA is proposed. First,the original signal is denoised by LMD,and a series of PFs are obtained. And the false component and the residual component are removed by the correlation coefficient method. Then,the definition of multi-point kurtosis is introduced,and the fault feature period is extracted by calculating the multi-point kurtosis spectrum of each layer of PF,and the PF without periodic impact is eliminated. In order to maintain the integrity of the original signal,PFs with the same period are recombined by the combined product function method. Finally,the recombinant signal is denoised by MOMEDA by setting different period intervals to further extract the fault characteristics. And the method is applied to the feature extraction of gearbox composite faults to verify the feasibility.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.12.032Composite faultLocal mean deconvolutionCombined product functionMultipoint optimal minimum entropy deconvolution
spellingShingle Ye Meitao
Chai Huili
Composite Fault Feature Extraction of Gearbox based on CPFs
Jixie chuandong
Composite fault
Local mean deconvolution
Combined product function
Multipoint optimal minimum entropy deconvolution
title Composite Fault Feature Extraction of Gearbox based on CPFs
title_full Composite Fault Feature Extraction of Gearbox based on CPFs
title_fullStr Composite Fault Feature Extraction of Gearbox based on CPFs
title_full_unstemmed Composite Fault Feature Extraction of Gearbox based on CPFs
title_short Composite Fault Feature Extraction of Gearbox based on CPFs
title_sort composite fault feature extraction of gearbox based on cpfs
topic Composite fault
Local mean deconvolution
Combined product function
Multipoint optimal minimum entropy deconvolution
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.12.032
work_keys_str_mv AT yemeitao compositefaultfeatureextractionofgearboxbasedoncpfs
AT chaihuili compositefaultfeatureextractionofgearboxbasedoncpfs