Improved GRU prediction of paper pulp press variables using different pre-processing methods

Improved GRU prediction of paper pulp press variables using different pre-processing methods

ABSTRACTPredictive maintenance strategies are becoming increasingly more important with the increased needs for automation and digitalization within pulp and paper manufacturing sector.Hence, this study contributes to examine the most efficient pre-processing approaches for predicting sensory data t...

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Bibliographic Details
Main Authors: Balduíno César Mateus, Mateus Mendes, José Torres Farinha, António Marques Cardoso, Rui Assis, Hamzeh Soltanali
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Production and Manufacturing Research: An Open Access Journal
Subjects:
Deep learning
LOWESS
forecasting failures
industrial press
recurrent neural network
predictive maintenance
Online Access:https://www.tandfonline.com/doi/10.1080/21693277.2022.2155263

Internet

https://www.tandfonline.com/doi/10.1080/21693277.2022.2155263

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