Gear Fault Diagnosis Based on EMD Decomposition and Levy-SSA-BP Neural Network

To solve the problem of early diagnosis of gear wear, this study proposes a fault diagnosis method based on empirical mode decomposition (EMD) and algorithm optimization of the back propagation (BP) neural network. Fristly, EMD is used to decompose acoustic emission signals, obtaining a series of i...

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Main Authors: Xu Jingwen, Yang Ping, Yin Xiaojun
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2024-05-01
Series:Jixie chuandong
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Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2024.05.021
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author Xu Jingwen
Yang Ping
Yin Xiaojun
author_facet Xu Jingwen
Yang Ping
Yin Xiaojun
author_sort Xu Jingwen
collection DOAJ
description To solve the problem of early diagnosis of gear wear, this study proposes a fault diagnosis method based on empirical mode decomposition (EMD) and algorithm optimization of the back propagation (BP) neural network. Fristly, EMD is used to decompose acoustic emission signals, obtaining a series of intrinsic mode function (IMF). Secondly, calculating the correlation coefficient of each IMF with the original signal, and the feature extractions of each component are carried out to form a feature matrix. Finally, the feature matrix is put into the BP neural network optimized by Levy flight and the sparrow search algorithm for identification. Comparing the BP neural network and the neural network optimized by the sparrow search algorithm, the algorithm proposed in this study has a higher accuracy rate, and the ability to identify minor wear faults is better, which can be used in early gear fault diagnosis.
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institution Kabale University
issn 1004-2539
language zho
publishDate 2024-05-01
publisher Editorial Office of Journal of Mechanical Transmission
record_format Article
series Jixie chuandong
spelling doaj-art-7bfbbf73bbf0464cb3cbe080dc2d4dbc2025-01-10T15:00:36ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392024-05-014815215759003958Gear Fault Diagnosis Based on EMD Decomposition and Levy-SSA-BP Neural NetworkXu JingwenYang PingYin XiaojunTo solve the problem of early diagnosis of gear wear, this study proposes a fault diagnosis method based on empirical mode decomposition (EMD) and algorithm optimization of the back propagation (BP) neural network. Fristly, EMD is used to decompose acoustic emission signals, obtaining a series of intrinsic mode function (IMF). Secondly, calculating the correlation coefficient of each IMF with the original signal, and the feature extractions of each component are carried out to form a feature matrix. Finally, the feature matrix is put into the BP neural network optimized by Levy flight and the sparrow search algorithm for identification. Comparing the BP neural network and the neural network optimized by the sparrow search algorithm, the algorithm proposed in this study has a higher accuracy rate, and the ability to identify minor wear faults is better, which can be used in early gear fault diagnosis.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2024.05.021Gear boxAcoustic emissionFault diagnosisBack propagation neural networkSparrow search algorithmLevy flightEmpirical mode decomposition
spellingShingle Xu Jingwen
Yang Ping
Yin Xiaojun
Gear Fault Diagnosis Based on EMD Decomposition and Levy-SSA-BP Neural Network
Jixie chuandong
Gear box
Acoustic emission
Fault diagnosis
Back propagation neural network
Sparrow search algorithm
Levy flight
Empirical mode decomposition
title Gear Fault Diagnosis Based on EMD Decomposition and Levy-SSA-BP Neural Network
title_full Gear Fault Diagnosis Based on EMD Decomposition and Levy-SSA-BP Neural Network
title_fullStr Gear Fault Diagnosis Based on EMD Decomposition and Levy-SSA-BP Neural Network
title_full_unstemmed Gear Fault Diagnosis Based on EMD Decomposition and Levy-SSA-BP Neural Network
title_short Gear Fault Diagnosis Based on EMD Decomposition and Levy-SSA-BP Neural Network
title_sort gear fault diagnosis based on emd decomposition and levy ssa bp neural network
topic Gear box
Acoustic emission
Fault diagnosis
Back propagation neural network
Sparrow search algorithm
Levy flight
Empirical mode decomposition
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2024.05.021
work_keys_str_mv AT xujingwen gearfaultdiagnosisbasedonemddecompositionandlevyssabpneuralnetwork
AT yangping gearfaultdiagnosisbasedonemddecompositionandlevyssabpneuralnetwork
AT yinxiaojun gearfaultdiagnosisbasedonemddecompositionandlevyssabpneuralnetwork