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Orientador(es)
Resumo(s)
Industry 4.0 must respond to some challenges such as the flexibility and robustness of
unexpected conditions, as well as the degree of system autonomy, something that is still
lacking. The evolution of Industry 4.0 aims at converting purely mechanical machines
into machines with self-learning capacity in order to improve overall performance
and contribute to the optimization of maintenance. An important contribution of
Industry 4.0 in the industrial sector is predictive maintenance and prescriptive
maintenance. This article should be analysed as a methodology proposal to implement
an automatic forecasting model in a test bench for the recognition of a machine’s
failure and contribute to the development of algorithms for preventive and descriptive
maintenance.
Descrição
Palavras-chave
Industry 4.0 Artificial intelligence Machine learning Predictive maintenance Prescriptive maintenance
Contexto Educativo
Citação
MARTINS, João Pedro Serrasqueiro; RODRIGUES, Filipe Martins; HENRIQUES, Nuno Paulo Ferreira – Modeling system based on machine learning approaches for predictive maintenance applications. KnE Engineering. ISSN 2518-6841. Vol. 2020 (2020), pp. 857-871
Editora
Knowledge E