Gear Fault Diagnosis Method based on Variational Modal Decomposition and Symbol Entropy

In order to improve diagnosis accuracy of gear,a fault diagnosis method of gear based on variational modal decomposition (VMD) and symbol entropy (SE) is proposed. Firstly, the gear vibration signals is decomposed into several intrinsic mode Function (IMF) which with different frequency components....

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Main Authors: Hongmei Li, Wei Lian
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2019-03-01
Series:Jixie chuandong
Subjects:
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.03.032
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author Hongmei Li
Wei Lian
author_facet Hongmei Li
Wei Lian
author_sort Hongmei Li
collection DOAJ
description In order to improve diagnosis accuracy of gear,a fault diagnosis method of gear based on variational modal decomposition (VMD) and symbol entropy (SE) is proposed. Firstly, the gear vibration signals is decomposed into several intrinsic mode Function (IMF) which with different frequency components. Secondly,SE values of each IMF are calculated as fault feature vectors that could represent the operating conditions of gear. Finally,the fault feature is put into SVM to identify different faults. Experiment results of gear show that the proposed method has certain superiority.
format Article
id doaj-art-ecb6e720893443d681fafd37132a04b4
institution Kabale University
issn 1004-2539
language zho
publishDate 2019-03-01
publisher Editorial Office of Journal of Mechanical Transmission
record_format Article
series Jixie chuandong
spelling doaj-art-ecb6e720893443d681fafd37132a04b42025-01-10T14:01:26ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392019-03-014316116530639830Gear Fault Diagnosis Method based on Variational Modal Decomposition and Symbol EntropyHongmei LiWei LianIn order to improve diagnosis accuracy of gear,a fault diagnosis method of gear based on variational modal decomposition (VMD) and symbol entropy (SE) is proposed. Firstly, the gear vibration signals is decomposed into several intrinsic mode Function (IMF) which with different frequency components. Secondly,SE values of each IMF are calculated as fault feature vectors that could represent the operating conditions of gear. Finally,the fault feature is put into SVM to identify different faults. Experiment results of gear show that the proposed method has certain superiority.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.03.032Variational modal decompositionSymbol entropySupport vector machineFault diagnosisGear
spellingShingle Hongmei Li
Wei Lian
Gear Fault Diagnosis Method based on Variational Modal Decomposition and Symbol Entropy
Jixie chuandong
Variational modal decomposition
Symbol entropy
Support vector machine
Fault diagnosis
Gear
title Gear Fault Diagnosis Method based on Variational Modal Decomposition and Symbol Entropy
title_full Gear Fault Diagnosis Method based on Variational Modal Decomposition and Symbol Entropy
title_fullStr Gear Fault Diagnosis Method based on Variational Modal Decomposition and Symbol Entropy
title_full_unstemmed Gear Fault Diagnosis Method based on Variational Modal Decomposition and Symbol Entropy
title_short Gear Fault Diagnosis Method based on Variational Modal Decomposition and Symbol Entropy
title_sort gear fault diagnosis method based on variational modal decomposition and symbol entropy
topic Variational modal decomposition
Symbol entropy
Support vector machine
Fault diagnosis
Gear
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.03.032
work_keys_str_mv AT hongmeili gearfaultdiagnosismethodbasedonvariationalmodaldecompositionandsymbolentropy
AT weilian gearfaultdiagnosismethodbasedonvariationalmodaldecompositionandsymbolentropy