Weibull recurrent neural networks for failure prognosis using histogram data

HIGHLIGHTS

• who: Maharshi Dhada from the Department of Engineering, Institute for Manufacturing, University of Cambridge, Cambridge , FS, UK have published the research work: Weibull recurrent neural networks for failure prognosis using histogram data, in the Journal: (JOURNAL)
• what: The aim of this paper is to present the first industrial use case of WTTE-RNN for prognosis. The first problem was handled in the experiments discussed here via parallel processing across the CPU cores, whereas overfitting was controlled by early-stopping and a network with few free parameters. The experiments in the case study were aimed at . . .
  

   

  

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