Research on the Bearing Weak Fault Signal Diagnosis Method Based on IGWO-MCKD-ROMP

In response to the issue of excessive sampling data and poor fault feature extraction performance in the fault diagnosis process of gearbox rolling bearings, a regularized orthogonal matching pursuit (ROMP) algorithm was proposed based on the maximum correlation kurtosis deconvolution (MCKD) for the...

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Main Authors: Zhou Juanli, Wang Chengyu, Zhao Shuanfeng
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2024-09-01
Series:Jixie chuandong
Subjects:
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2024.09.021
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author Zhou Juanli
Wang Chengyu
Zhao Shuanfeng
author_facet Zhou Juanli
Wang Chengyu
Zhao Shuanfeng
author_sort Zhou Juanli
collection DOAJ
description In response to the issue of excessive sampling data and poor fault feature extraction performance in the fault diagnosis process of gearbox rolling bearings, a regularized orthogonal matching pursuit (ROMP) algorithm was proposed based on the maximum correlation kurtosis deconvolution (MCKD) for the diagnosis of bearing weak fault signals. Firstly, to achieve adaptive selection of parameters in the MCKD and ROMP algorithms, an improved grey wolf optimization (IGWO) algorithm was introduced. Then, the IGWO was used to denoise the original signal through MCKD processing. Finally, IGWO-ROMP was utilized to reconstruct the signal and diagnose bearing faults through envelope analysis of the signal.Verified by simulation signals and experimental results, this method can effectively extract bearing weak fault components, providing a new approach for the diagnosis of bearing weak fault signals.
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institution Kabale University
issn 1004-2539
language zho
publishDate 2024-09-01
publisher Editorial Office of Journal of Mechanical Transmission
record_format Article
series Jixie chuandong
spelling doaj-art-2419eb024c0345498d2bc1371b18c3e82025-01-10T15:01:33ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392024-09-014816016672500456Research on the Bearing Weak Fault Signal Diagnosis Method Based on IGWO-MCKD-ROMPZhou JuanliWang ChengyuZhao ShuanfengIn response to the issue of excessive sampling data and poor fault feature extraction performance in the fault diagnosis process of gearbox rolling bearings, a regularized orthogonal matching pursuit (ROMP) algorithm was proposed based on the maximum correlation kurtosis deconvolution (MCKD) for the diagnosis of bearing weak fault signals. Firstly, to achieve adaptive selection of parameters in the MCKD and ROMP algorithms, an improved grey wolf optimization (IGWO) algorithm was introduced. Then, the IGWO was used to denoise the original signal through MCKD processing. Finally, IGWO-ROMP was utilized to reconstruct the signal and diagnose bearing faults through envelope analysis of the signal.Verified by simulation signals and experimental results, this method can effectively extract bearing weak fault components, providing a new approach for the diagnosis of bearing weak fault signals.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2024.09.021IGWOMCKDROMPBearing fault diagnosis
spellingShingle Zhou Juanli
Wang Chengyu
Zhao Shuanfeng
Research on the Bearing Weak Fault Signal Diagnosis Method Based on IGWO-MCKD-ROMP
Jixie chuandong
IGWO
MCKD
ROMP
Bearing fault diagnosis
title Research on the Bearing Weak Fault Signal Diagnosis Method Based on IGWO-MCKD-ROMP
title_full Research on the Bearing Weak Fault Signal Diagnosis Method Based on IGWO-MCKD-ROMP
title_fullStr Research on the Bearing Weak Fault Signal Diagnosis Method Based on IGWO-MCKD-ROMP
title_full_unstemmed Research on the Bearing Weak Fault Signal Diagnosis Method Based on IGWO-MCKD-ROMP
title_short Research on the Bearing Weak Fault Signal Diagnosis Method Based on IGWO-MCKD-ROMP
title_sort research on the bearing weak fault signal diagnosis method based on igwo mckd romp
topic IGWO
MCKD
ROMP
Bearing fault diagnosis
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2024.09.021
work_keys_str_mv AT zhoujuanli researchonthebearingweakfaultsignaldiagnosismethodbasedonigwomckdromp
AT wangchengyu researchonthebearingweakfaultsignaldiagnosismethodbasedonigwomckdromp
AT zhaoshuanfeng researchonthebearingweakfaultsignaldiagnosismethodbasedonigwomckdromp