Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.11/6097
Título: Industrial IoT devices and cyber-physical production systems: review and use case
Autor: Rúbio, Eva Masero
Dionísio, Rogério
Torres, Pedro
Palavras-chave: Cyber-physical systems
Industrial IoT
Smart factories
Machine learning
Predictive maintenance
Data: 2019
Editora: Springer
Citação: RÚBIO, E.M., DIONÍSIO, R.P., TORRES P.M.B. (2019) -Industrial IoT devices and cyber-physical production systems: review and use case. In: MACHADO, J., SOARES, F., VEIGA, G. (eds) - Innovation, Engineering and Entrepreneurship. HELIX 2018. Lecture Notes in Electrical Engineering. Cham: Springer. ISBN: 978-3-319-91334-6. Vol. 505, p. 292-298
Resumo: The present paper describes the state of the art related to IIoT Devices and Cyber-Physical systems and presents a use case related to predictive maintenance. Industry 4.0 is the boost for smart manufacturing and demands flexibility and adaptability of all devices/machines in the shop floor. The machines must become smart and interact with other machines inside and outside the industries/factories. The predictive maintenance is a key topic in this industrial revolution. The reason is based on the idea that smart machines must be capable to automatically identify and predict possible faults and actuate before they occur. Vibrations can be problematic in electrical motors. For this reason, we address an experimental study associated with an automatic classification procedure, that runs in the smart devices to detect anomalies. The results corroborate the applicability and usefulness of this machine learning algorithm to predict vibration faults.
Descrição: “This is a post-peer-review, pre-copyedit version of an article published in Lecture Notes in Electrical Engineering. The final authenticated version is available online at: https://doi.org/10.1007/978-3-319-91334-6_40"
Peer review: yes
URI: http://hdl.handle.net/10400.11/6097
DOI: 0.1007/978-3-319-91334-6_40
ISBN: 978-3-319-91334-6
Versão do Editor: https://link.springer.com/chapter/10.1007/978-3-319-91334-6_40
Aparece nas colecções:ESTCB - Livros ou capítulos de livros

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