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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Editorial Office of Journal of Mechanical Transmission
2024-05-01
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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. |
format | Article |
id | doaj-art-7bfbbf73bbf0464cb3cbe080dc2d4dbc |
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 |