Research on Gearbox Fault Diagnosis Based on LMD Energy Entropy

Aiming at the problem that it is difficult to identify the composite fault characteristics of gearboxes in the case of small samples, a local mean decomposition(LMD) gearbox fault diagnosis method based on energy entropy is proposed. The LMD method is used to process the gearbox vibration signal to...

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Main Authors: Xu Le, Li Wei, Zhang Bo, Zhu Yubin, Lang Chaonan
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2022-10-01
Series:Jixie chuandong
Subjects:
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.10.004
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author Xu Le
Li Wei
Zhang Bo
Zhu Yubin
Lang Chaonan
author_facet Xu Le
Li Wei
Zhang Bo
Zhu Yubin
Lang Chaonan
author_sort Xu Le
collection DOAJ
description Aiming at the problem that it is difficult to identify the composite fault characteristics of gearboxes in the case of small samples, a local mean decomposition(LMD) gearbox fault diagnosis method based on energy entropy is proposed. The LMD method is used to process the gearbox vibration signal to obtain several PF components;the dispersion value of component energy in the frequency domain is calculated using the uneven distribution of gearbox vibration signals in different states, which is the LMD energy entropy; the gearbox fault classification is carried out through the distribution of LMD energy entropy in different states. The experimental results show that in the case of small samples, the feature extraction and fault diagnosis of gearbox fault types can be accurately carried out based on the LMD energy entropy method, which also shows the superiority of this method in gearbox fault diagnosis.
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institution Kabale University
issn 1004-2539
language zho
publishDate 2022-10-01
publisher Editorial Office of Journal of Mechanical Transmission
record_format Article
series Jixie chuandong
spelling doaj-art-70f6bdbb7aa2434e972390e6b5f73b8b2025-01-10T14:47:09ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392022-10-0146242931572394Research on Gearbox Fault Diagnosis Based on LMD Energy EntropyXu LeLi WeiZhang BoZhu YubinLang ChaonanAiming at the problem that it is difficult to identify the composite fault characteristics of gearboxes in the case of small samples, a local mean decomposition(LMD) gearbox fault diagnosis method based on energy entropy is proposed. The LMD method is used to process the gearbox vibration signal to obtain several PF components;the dispersion value of component energy in the frequency domain is calculated using the uneven distribution of gearbox vibration signals in different states, which is the LMD energy entropy; the gearbox fault classification is carried out through the distribution of LMD energy entropy in different states. The experimental results show that in the case of small samples, the feature extraction and fault diagnosis of gearbox fault types can be accurately carried out based on the LMD energy entropy method, which also shows the superiority of this method in gearbox fault diagnosis.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.10.004GearboxLocal mean decompositionEnergy entropyFault diagnosis
spellingShingle Xu Le
Li Wei
Zhang Bo
Zhu Yubin
Lang Chaonan
Research on Gearbox Fault Diagnosis Based on LMD Energy Entropy
Jixie chuandong
Gearbox
Local mean decomposition
Energy entropy
Fault diagnosis
title Research on Gearbox Fault Diagnosis Based on LMD Energy Entropy
title_full Research on Gearbox Fault Diagnosis Based on LMD Energy Entropy
title_fullStr Research on Gearbox Fault Diagnosis Based on LMD Energy Entropy
title_full_unstemmed Research on Gearbox Fault Diagnosis Based on LMD Energy Entropy
title_short Research on Gearbox Fault Diagnosis Based on LMD Energy Entropy
title_sort research on gearbox fault diagnosis based on lmd energy entropy
topic Gearbox
Local mean decomposition
Energy entropy
Fault diagnosis
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.10.004
work_keys_str_mv AT xule researchongearboxfaultdiagnosisbasedonlmdenergyentropy
AT liwei researchongearboxfaultdiagnosisbasedonlmdenergyentropy
AT zhangbo researchongearboxfaultdiagnosisbasedonlmdenergyentropy
AT zhuyubin researchongearboxfaultdiagnosisbasedonlmdenergyentropy
AT langchaonan researchongearboxfaultdiagnosisbasedonlmdenergyentropy