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Requirements for an Intelligent Maintenance System for Industry 4.0

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Requirements for an Intelligent Maintenance System for Industry 4.0

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Garcia, E.; Araujo, A.; Palanca Cámara, J.; Giret Boggino, AS.; Julian Inglada, VJ.; Botti, V. (2019). Requirements for an Intelligent Maintenance System for Industry 4.0. Springer. 340-351. https://doi.org/10.1007/978-3-030-27477-1_26

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Metadatos del ítem

Título: Requirements for an Intelligent Maintenance System for Industry 4.0
Autor: Garcia, Emilia Araujo, Angelo Palanca Cámara, Javier Giret Boggino, Adriana Susana Julian Inglada, Vicente Javier Botti, V.
Entidad UPV: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Fecha difusión:
Resumen:
[EN] Recent advances in the development of technological devices and software for Industry 4.0 have pushed a change in the maintenance management systems and processes. Nowadays, in order to maintain a company competitive, ...[+]
Palabras clave: Mantainance management , Predictive maintenance , Intelligent mantainance system , Industry 4.0
Derechos de uso: Reserva de todos los derechos
ISBN: 978-3-030-27476-4
Fuente:
Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future. Proceedings of SOHOMA 2019.
DOI: 10.1007/978-3-030-27477-1_26
Editorial:
Springer
Versión del editor: https://doi.org/10.1007/978-3-030-27477-1_26
Título del congreso: 9th Workshop on Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future (SOHOMA 19)
Lugar del congreso: Valencia, Spain
Fecha congreso: Octubre 03-04,2019
Código del Proyecto:
info:eu-repo/grantAgreement/AEI//RTC-2017-6401-7/ES/Plataforma horizontal de smart data y deep learning para la industria y aplicación al sector manufacturere, PLATINUM/
Descripción: comprobación paso "titulo publicación " - Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future
Agradecimientos:
This work is supported by the FEDER/Ministry of Science, Innovation and Universities - State Research Agency RTC-2017-6401-7
Tipo: Comunicación en congreso Capítulo de libro

References

CEN, European Committee for Standardization: EN 13306:2017. Maintenance Terminology. European Standard (2017)

Chen, B., Wan, J., Shu, L., Li, P., Mukherjee, M., Yin, B.: Smart factory of Industry 4.0: key technologies, application case, and challenges. IEEE Access 6, 6505–6519 (2018). https://doi.org/10.1109/access.2017.2783682

Crespo Marquez, A., Gupta, J.N.: Contemporary maintenance management: process, framework and supporting pillars. Omega 34(3), 313–326 (2006). https://doi.org/10.1016/j.omega.2004.11.003 [+]
CEN, European Committee for Standardization: EN 13306:2017. Maintenance Terminology. European Standard (2017)

Chen, B., Wan, J., Shu, L., Li, P., Mukherjee, M., Yin, B.: Smart factory of Industry 4.0: key technologies, application case, and challenges. IEEE Access 6, 6505–6519 (2018). https://doi.org/10.1109/access.2017.2783682

Crespo Marquez, A., Gupta, J.N.: Contemporary maintenance management: process, framework and supporting pillars. Omega 34(3), 313–326 (2006). https://doi.org/10.1016/j.omega.2004.11.003

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Paolanti, M., Romeo, L., Felicetti, A., Mancini, A., Frontoni, E., Loncarski, J.: Machine learning approach for predictive maintenance in Industry 4.0. In: 2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA). IEEE (2018). https://doi.org/10.1109/mesa.2018.8449150

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Razmi-Farooji, A., Kropsu-Vehkaperä, H., Härkönen, J., Haapasalo, H.: Advantages and potential challenges of data management in e-maintenance. J. Qual. Maint. Eng. (2019)

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