Bolt-Loosening Detection Using 1D and 2D Input Data Based on Two-Stream Convolutional Neural Networks

At present, the detection accuracy of bolt-loosening diagnoses is still not high. In order to improve the detection accuracy, this paper proposes a fault diagnosis model based on the TSCNN model, which can simultaneously extract fault features from vibration signals and time-frequency images and can...

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Detalles Bibliográficos
Autores principales: Hou, Xiaoli, Guo, Weichao, Ren, Shengjie, Li, Yan, Si, Yue, Su, Lizheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572207/
https://www.ncbi.nlm.nih.gov/pubmed/36234106
http://dx.doi.org/10.3390/ma15196757

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572207/
https://www.ncbi.nlm.nih.gov/pubmed/36234106
http://dx.doi.org/10.3390/ma15196757

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