Comparison of different features and neural networks for predicting industrial paper press condition

HIGHLIGHTS

• who: João Antunes Rodrigues et al. from the CISE-Electromechatronic Systems Research Centre, University of Beira Interior, Calçada Fonte do Lameiro have published the research work: Comparison of Different Features and Neural Networks for Predicting Industrial Paper Press Condition, in the Journal: Energies 2022, 15, 6308. of 29/08/2022
• what: The aims of a good maintenance policy are: safety, quality, cost reduction, and availability . This research aims to propose a model to forecast sensor values of an industrial pulp paper press for 15 days, 30 days, and 90 days. The approach proposed . . .
  

   

  

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