Early Fault Diagnosis of Shaft Crack Based on Double Optimization Maximum Correlated Kurtosis Deconvolution and Variational Mode Decomposition

Aiming at the problem that the vibration energy of shaft crack early weak fault is small and the feature extraction was difficult, the fault diagnosis method of cuckoo search, maximum correlation kurtosis deconvolution and variational mode decomposition (CS-MCKD-VMD) was proposed to diagnose the ear...

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Autores principales:	Tongwei Ma, Xiangfeng Zhang, Hong Jiang, Kedian Wang, Lei Xia, Xiangheng Guan
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Maximum correlated kurtosis deconvolution variational mode decomposition cuckoo search algorithm shaft crack Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/e6c082e663a045c78854a24c0cfb66ac
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spelling	oai:doaj.org-article:e6c082e663a045c78854a24c0cfb66ac2021-11-19T00:06:01ZEarly Fault Diagnosis of Shaft Crack Based on Double Optimization Maximum Correlated Kurtosis Deconvolution and Variational Mode Decomposition2169-353610.1109/ACCESS.2021.3052852https://doaj.org/article/e6c082e663a045c78854a24c0cfb66ac2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9328425/https://doaj.org/toc/2169-3536Aiming at the problem that the vibration energy of shaft crack early weak fault is small and the feature extraction was difficult, the fault diagnosis method of cuckoo search, maximum correlation kurtosis deconvolution and variational mode decomposition (CS-MCKD-VMD) was proposed to diagnose the early weak fault of shaft cracks. Firstly, considering the periodic characteristics of fault signal, MCKD was used to highlight the fault signal, and the kurtosis correlation of deconvolution signal processed by MCKD were enhanced. Then, VMD could be used to decompose the harmonic signal, and VMD was used to process the deconvolution signal to generate some intrinsic mode functions (IMF), and the correlation coefficient method was used to calculate the components with the maximum correlation. At the same time, in order to improve the correlation of parameters in MCKD and VMD, CS was used to optimize the parameters to reduce the error of human selection. Thirdly, the optimal component was calculated by the fast spectral kurtosis (FSK), and the envelope spectrum was obtained by filtering the optimal component with the parameters obtained. Finally, the simulation and experimental results show that the transfer frequency and its 2 and 3 times frequency were prominent in the envelope spectrum, which was consistent with the analysis of shaft crack fault mechanism, Therefore, it was proved that the CS-MCKD-VMD method can effectively extract the early weak fault features of shaft cracks.Tongwei MaXiangfeng ZhangHong JiangKedian WangLei XiaXiangheng GuanIEEEarticleMaximum correlated kurtosis deconvolutionvariational mode decompositioncuckoo search algorithmshaft crackElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 14971-14982 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Maximum correlated kurtosis deconvolution variational mode decomposition cuckoo search algorithm shaft crack Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Maximum correlated kurtosis deconvolution variational mode decomposition cuckoo search algorithm shaft crack Electrical engineering. Electronics. Nuclear engineering TK1-9971 Tongwei Ma Xiangfeng Zhang Hong Jiang Kedian Wang Lei Xia Xiangheng Guan Early Fault Diagnosis of Shaft Crack Based on Double Optimization Maximum Correlated Kurtosis Deconvolution and Variational Mode Decomposition
description	Aiming at the problem that the vibration energy of shaft crack early weak fault is small and the feature extraction was difficult, the fault diagnosis method of cuckoo search, maximum correlation kurtosis deconvolution and variational mode decomposition (CS-MCKD-VMD) was proposed to diagnose the early weak fault of shaft cracks. Firstly, considering the periodic characteristics of fault signal, MCKD was used to highlight the fault signal, and the kurtosis correlation of deconvolution signal processed by MCKD were enhanced. Then, VMD could be used to decompose the harmonic signal, and VMD was used to process the deconvolution signal to generate some intrinsic mode functions (IMF), and the correlation coefficient method was used to calculate the components with the maximum correlation. At the same time, in order to improve the correlation of parameters in MCKD and VMD, CS was used to optimize the parameters to reduce the error of human selection. Thirdly, the optimal component was calculated by the fast spectral kurtosis (FSK), and the envelope spectrum was obtained by filtering the optimal component with the parameters obtained. Finally, the simulation and experimental results show that the transfer frequency and its 2 and 3 times frequency were prominent in the envelope spectrum, which was consistent with the analysis of shaft crack fault mechanism, Therefore, it was proved that the CS-MCKD-VMD method can effectively extract the early weak fault features of shaft cracks.
format	article
author	Tongwei Ma Xiangfeng Zhang Hong Jiang Kedian Wang Lei Xia Xiangheng Guan
author_facet	Tongwei Ma Xiangfeng Zhang Hong Jiang Kedian Wang Lei Xia Xiangheng Guan
author_sort	Tongwei Ma
title	Early Fault Diagnosis of Shaft Crack Based on Double Optimization Maximum Correlated Kurtosis Deconvolution and Variational Mode Decomposition
title_short	Early Fault Diagnosis of Shaft Crack Based on Double Optimization Maximum Correlated Kurtosis Deconvolution and Variational Mode Decomposition
title_full	Early Fault Diagnosis of Shaft Crack Based on Double Optimization Maximum Correlated Kurtosis Deconvolution and Variational Mode Decomposition
title_fullStr	Early Fault Diagnosis of Shaft Crack Based on Double Optimization Maximum Correlated Kurtosis Deconvolution and Variational Mode Decomposition
title_full_unstemmed	Early Fault Diagnosis of Shaft Crack Based on Double Optimization Maximum Correlated Kurtosis Deconvolution and Variational Mode Decomposition
title_sort	early fault diagnosis of shaft crack based on double optimization maximum correlated kurtosis deconvolution and variational mode decomposition
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/e6c082e663a045c78854a24c0cfb66ac
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_version_	1718420701620207616

Early Fault Diagnosis of Shaft Crack Based on Double Optimization Maximum Correlated Kurtosis Deconvolution and Variational Mode Decomposition

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