Rotating machinery fault identification via adaptive convolutional neural network

HIGHLIGHTS

• who: Luke Zhang and collaborators from the Chengdu, China School of Mechanical Engineering, Chongqing Technology and Business University, China have published the paper: Rotating Machinery Fault Identification via Adaptive Convolutional Neural Network, in the Journal: Journal of Sensors of 22/07/2022
• what: The model proposed in this paper is based on one-dimensional (1D) CNN theory and reference learning.
• how: This paper proposes an adaptive convolutional neural network (ACNN) by combining ensemble learning and simple convolutional neural network (CNN). The training and test data are obtained from the vibration signal of the . . .
  

   

  

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