Fault Diagnosis Based on BP Neural Network Optimized by Beetle Algorithm

Fault Diagnosis Based on BP Neural Network Optimized by Beetle Algorithm

Abstract In the process of Wavelet Analysis, only the low-frequency signals are re-decomposed, and the high-frequency signals are no longer decomposed, resulting in a decrease in frequency resolution with increasing frequency. Therefore, in this paper, firstly, Wavelet Packet Decomposition is used f...

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Autores principales: Maohua Xiao, Wei Zhang, Kai Wen, Yue Zhu, Yilidaer Yiliyasi
Formato: article
Lenguaje:EN
Publicado: SpringerOpen 2021
Materias:
Rolling bearing
BP neural network
Beetle algorithm
Wavelet packet transform
Ocean engineering
TC1501-1800
Mechanical engineering and machinery
TJ1-1570
Acceso en línea:https://doaj.org/article/11a1eb1c7ca14b978561f57af6242e3e
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