Short and long forecast to implement predictive maintenance in a pulp industry

Predictive maintenance is very important for effective prevention of failures in an industry. The present paper describes a case study where a wood chip pump system was analyzed, and a predictive model was proposed. An Ishikawa diagram and FMECA are used to identify possible causes for system failur...

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Bibliographic Details
Main Author: Rodrigues, João Antunes (author)
Other Authors: Farinha, José Manuel Torres (author), Mendes, Mateus (author), Mateus, Ricardo (author), Cardoso, António (author)
Format: article
Language:eng
Published: 2021
Subjects:
predictive maintenance
condition based maintenance
time series
artificial neural networks
forecasting
Online Access:http://hdl.handle.net/10316/100596
Country:Portugal
Oai:oai:estudogeral.sib.uc.pt:10316/100596

Internet

http://hdl.handle.net/10316/100596

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