Application of ABC-VMD and Envelope Spectrum Analysis in Gear Fault Diagnosis

Aiming at the nonlinear and unsteady characteristics of gearbox fault, a parameter-optimized Variational mode decomposition (VMD) is proposed to extract the characteristic frequency. Firstly, the Artificial bee colony algorithm (ABC) is used to adaptively select the number of layers and the penalty...

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Main Authors: Wangping Zhou, Rong Wang, Shenrong Xu
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2019-04-01
Series:Jixie chuandong
Subjects:
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.04.028
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author Wangping Zhou
Rong Wang
Shenrong Xu
author_facet Wangping Zhou
Rong Wang
Shenrong Xu
author_sort Wangping Zhou
collection DOAJ
description Aiming at the nonlinear and unsteady characteristics of gearbox fault, a parameter-optimized Variational mode decomposition (VMD) is proposed to extract the characteristic frequency. Firstly, the Artificial bee colony algorithm (ABC) is used to adaptively select the number of layers and the penalty factor for VMD. Then, according to the mutual information method, the optimal finite Intrinsic mode function (IMF) is selected after VMD. Finally, the envelope spectrum analysis of the best IMF is performed to extract the characteristic signal of the gear fault. Comparing with Empirical mode decomposition (EMD) and VMD based on Particle swarm optimization (PSO), simulation and experimental results show that the ABC-VMD method has strong adaptability, which can effectively avoid problems of mode mixing, signal loss and excessive decomposition. It can accurately perform early fault diagnosis on the gearbox and at the same time avoid the disadvantages of PSO-VMD falling into local optimum.
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spelling doaj.art-0722426bd5d340609cbb072bf561df092025-01-10T14:01:06ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392019-04-014315015630646759Application of ABC-VMD and Envelope Spectrum Analysis in Gear Fault DiagnosisWangping ZhouRong WangShenrong XuAiming at the nonlinear and unsteady characteristics of gearbox fault, a parameter-optimized Variational mode decomposition (VMD) is proposed to extract the characteristic frequency. Firstly, the Artificial bee colony algorithm (ABC) is used to adaptively select the number of layers and the penalty factor for VMD. Then, according to the mutual information method, the optimal finite Intrinsic mode function (IMF) is selected after VMD. Finally, the envelope spectrum analysis of the best IMF is performed to extract the characteristic signal of the gear fault. Comparing with Empirical mode decomposition (EMD) and VMD based on Particle swarm optimization (PSO), simulation and experimental results show that the ABC-VMD method has strong adaptability, which can effectively avoid problems of mode mixing, signal loss and excessive decomposition. It can accurately perform early fault diagnosis on the gearbox and at the same time avoid the disadvantages of PSO-VMD falling into local optimum.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.04.028Variational mode decompositionArtificial bee colony algorithmEnvelope spectrum analysisGearbox fault diagnosis
spellingShingle Wangping Zhou
Rong Wang
Shenrong Xu
Application of ABC-VMD and Envelope Spectrum Analysis in Gear Fault Diagnosis
Jixie chuandong
Variational mode decomposition
Artificial bee colony algorithm
Envelope spectrum analysis
Gearbox fault diagnosis
title Application of ABC-VMD and Envelope Spectrum Analysis in Gear Fault Diagnosis
title_full Application of ABC-VMD and Envelope Spectrum Analysis in Gear Fault Diagnosis
title_fullStr Application of ABC-VMD and Envelope Spectrum Analysis in Gear Fault Diagnosis
title_full_unstemmed Application of ABC-VMD and Envelope Spectrum Analysis in Gear Fault Diagnosis
title_short Application of ABC-VMD and Envelope Spectrum Analysis in Gear Fault Diagnosis
title_sort application of abc vmd and envelope spectrum analysis in gear fault diagnosis
topic Variational mode decomposition
Artificial bee colony algorithm
Envelope spectrum analysis
Gearbox fault diagnosis
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.04.028
work_keys_str_mv AT wangpingzhou applicationofabcvmdandenvelopespectrumanalysisingearfaultdiagnosis
AT rongwang applicationofabcvmdandenvelopespectrumanalysisingearfaultdiagnosis
AT shenrongxu applicationofabcvmdandenvelopespectrumanalysisingearfaultdiagnosis