Open Access
ITM Web Conf.
Volume 45, 2022
2021 3rd International Conference on Computer Science Communication and Network Security (CSCNS2021)
Article Number 01014
Number of page(s) 6
Section Computer Technology and System Design
Published online 19 May 2022
  1. She Daoming, Jia Minping. A new multi-layer deep convolutional neural network for rolling bearing fault diagnosis method [A]. Proceedings of the 12th National Symposium on Vibration Theory and Application [C]. Mechanical Structure of Nanjing University of Aeronautics and Astronautics State Key Laboratory of Mechanics and Control: Chinese Society of Vibration Engineering, 2017: 7. [Google Scholar]
  2. Zhang Wei. Research on bearing fault diagnosis algorithm based on convolutional neural network [D]. Harbin Institute of Technology, 2017. [Google Scholar]
  3. Wu Jun, Xu Xuebing, Liu Cheng, Deng Chao, Shao Xinyu. Lamb wave-based damage detection of composite structures using deep convolutional neural network and continuous wavelet transform [J]. Composite Structures, 2021, 276. [Google Scholar]

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