A novel one-dimensional convolutional neural network with parallel attention for fault diagnosis of rigid guides
Author:
Funder
The Key Research and Development Plan (Industrial Key Technology R&D) Xuzhou City, Jiangsu Province, China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40430-024-05046-y.pdf
Reference36 articles.
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3. Jakubowski J, Fiolek P (2023) Data-driven approach to structural analysis of shaft steelwork under corrosion. Eng Struct 281:115741. https://doi.org/10.1016/j.engstruct.2023.115741
4. Yao JN, Ma YS, Ma C, Xiao XM, Xu T (2020) Effect of misalignment failures of steel guides on impact responses in friction mine hoisting systems. Eng Fail Anal 118:104841. https://doi.org/10.1016/j.engfailanal.2020.104841
5. Ma C, Wang T, Xiao X, Jiang Y (2017) Pattern recognition of rigid hoisting guides based on vibration characteristics. J Vibroeng 19(1):237–245. https://doi.org/10.21595/jve.2016.17367
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