Gearbox Fault Diagnosis based on Improved LMD and BP Neural Network

Aiming at the problem of the poor working environment and the fault mode is difficult to identify of the gearbox of military armored vehicles, based on the existing methods, the noise assisted analysis, LMD and BP neural network are combined to apply to the fault diagnosis of armored vehicle gearbox...

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Main Authors: Lei He, Suqi Liu, Ting Jiang, Zhijie Huang
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2020-01-01
Series:Jixie chuandong
Subjects:
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2020.01.029
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author Lei He
Suqi Liu
Ting Jiang
Zhijie Huang
author_facet Lei He
Suqi Liu
Ting Jiang
Zhijie Huang
author_sort Lei He
collection DOAJ
description Aiming at the problem of the poor working environment and the fault mode is difficult to identify of the gearbox of military armored vehicles, based on the existing methods, the noise assisted analysis, LMD and BP neural network are combined to apply to the fault diagnosis of armored vehicle gearbox. Firstly, the vibration signals under the four typical states of normal gearbox, bearing clearance fault, indentation of outer ring and broken tooth of gear of the gearbox are collected on the self-built test bench. Then, the signal is decomposed by the noise-assisted LMD method, and the energy eigenvalues of the first eight PF components are extracted. The extracted feature values are used as the input of the BP neural network. The fault type of the gearbox is identified based on the output result. The results show that the method can be effectively applied to the fault diagnosis of military armored vehicle gearbox, and the diagnostic accuracy rate is 92.5%. An effective reference way for other special gearbox diagnosis is provided by this study, and it has certain engineering practical value.
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id doaj-art-6e28a20c8b6947a8868dd4b0983d3de3
institution Kabale University
issn 1004-2539
language zho
publishDate 2020-01-01
publisher Editorial Office of Journal of Mechanical Transmission
record_format Article
series Jixie chuandong
spelling doaj-art-6e28a20c8b6947a8868dd4b0983d3de32025-01-10T14:56:11ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392020-01-014417117629795904Gearbox Fault Diagnosis based on Improved LMD and BP Neural NetworkLei HeSuqi LiuTing JiangZhijie HuangAiming at the problem of the poor working environment and the fault mode is difficult to identify of the gearbox of military armored vehicles, based on the existing methods, the noise assisted analysis, LMD and BP neural network are combined to apply to the fault diagnosis of armored vehicle gearbox. Firstly, the vibration signals under the four typical states of normal gearbox, bearing clearance fault, indentation of outer ring and broken tooth of gear of the gearbox are collected on the self-built test bench. Then, the signal is decomposed by the noise-assisted LMD method, and the energy eigenvalues of the first eight PF components are extracted. The extracted feature values are used as the input of the BP neural network. The fault type of the gearbox is identified based on the output result. The results show that the method can be effectively applied to the fault diagnosis of military armored vehicle gearbox, and the diagnostic accuracy rate is 92.5%. An effective reference way for other special gearbox diagnosis is provided by this study, and it has certain engineering practical value.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2020.01.029Gearbox
spellingShingle Lei He
Suqi Liu
Ting Jiang
Zhijie Huang
Gearbox Fault Diagnosis based on Improved LMD and BP Neural Network
Jixie chuandong
Gearbox
title Gearbox Fault Diagnosis based on Improved LMD and BP Neural Network
title_full Gearbox Fault Diagnosis based on Improved LMD and BP Neural Network
title_fullStr Gearbox Fault Diagnosis based on Improved LMD and BP Neural Network
title_full_unstemmed Gearbox Fault Diagnosis based on Improved LMD and BP Neural Network
title_short Gearbox Fault Diagnosis based on Improved LMD and BP Neural Network
title_sort gearbox fault diagnosis based on improved lmd and bp neural network
topic Gearbox
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2020.01.029
work_keys_str_mv AT leihe gearboxfaultdiagnosisbasedonimprovedlmdandbpneuralnetwork
AT suqiliu gearboxfaultdiagnosisbasedonimprovedlmdandbpneuralnetwork
AT tingjiang gearboxfaultdiagnosisbasedonimprovedlmdandbpneuralnetwork
AT zhijiehuang gearboxfaultdiagnosisbasedonimprovedlmdandbpneuralnetwork