A deep learning approach for detecting drill bit failures from a small sound dataset

HIGHLIGHTS

• who: Thanh Tran from the DepartmentSweden University have published the research: A deep learning approach for detecting drill bit failures from a small sound dataset, in the Journal: Scientific Reports Scientific Reports
• what: In this paper, drill sounds were converted into log-Mel spectrograms to feed into the proposed CNN. As previously stated, the model has four key components: the CNN module, the LSTM layer, the attention mechanism, and the Leaky ReLU activation function. In this article, a deep learning model was proposed for a drill fault detection system.
• how: The details of . . .
  

   

  

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