A hybrid machine learning approach for predictive maintenance in smart factories of the future

Sangje Cho; Gökan May; Ioannis Tourkogiorgis; Roberto Perez; Oscar Lazaro; Borja de la Maza; Dimitris Kiritsis

doi:10.1007/978-3-319-99707-0_39

A hybrid machine learning approach for predictive maintenance in smart factories of the future

Sangje Cho
, Gökan May
, Ioannis Tourkogiorgis
, Roberto Perez
, Oscar Lazaro
, Borja de la Maza
, Dimitris Kiritsis

Icole Polytechnique Fédérale de Lausanne

Producción científica: Literary contribution

Idioma original	English
Título de la publicación alojada	Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings
Editores	Gregor von Cieminski, Dimitris Kiritsis, Ilkyeong Moon, Jinwoo Park, Gyu M. Lee
Páginas	311-317
Número de páginas	7
DOI	https://doi.org/10.1007/978-3-319-99707-0_39
Estado	Published - 2018
Publicado de forma externa	Sí
Evento	IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2018 - Seoul, Korea, Republic of Duración: ago 26 2018 → ago 30 2018

Serie de la publicación

Nombre	IFIP Advances in Information and Communication Technology
Volumen	536
ISSN (versión impresa)	1868-4238

Conference

Conference	IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2018
País/Territorio	Korea, Republic of
Ciudad	Seoul
Período	8/26/18 → 8/30/18

ASJC Scopus Subject Areas

Information Systems and Management

Acceder al documento

10.1007/978-3-319-99707-0_39

Otros archivos y enlaces

Citar esto

Cho, S., May, G., Tourkogiorgis, I., Perez, R., Lazaro, O., de la Maza, B., & Kiritsis, D. (2018). A hybrid machine learning approach for predictive maintenance in smart factories of the future. En G. von Cieminski, D. Kiritsis, I. Moon, J. Park, & G. M. Lee (Eds.), Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings (pp. 311-317). (IFIP Advances in Information and Communication Technology; Vol. 536). https://doi.org/10.1007/978-3-319-99707-0_39

A hybrid machine learning approach for predictive maintenance in smart factories of the future. / Cho, Sangje; May, Gökan; Tourkogiorgis, Ioannis et al.
Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings. ed. / Gregor von Cieminski; Dimitris Kiritsis; Ilkyeong Moon; Jinwoo Park; Gyu M. Lee. 2018. p. 311-317 (IFIP Advances in Information and Communication Technology; Vol. 536).

Producción científica: Literary contribution

Cho, S, May, G, Tourkogiorgis, I, Perez, R, Lazaro, O, de la Maza, B & Kiritsis, D 2018, A hybrid machine learning approach for predictive maintenance in smart factories of the future. En G von Cieminski, D Kiritsis, I Moon, J Park & GM Lee (eds.), Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings. IFIP Advances in Information and Communication Technology, vol. 536, pp. 311-317, IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2018, Seoul, Korea, Republic of, 8/26/18. https://doi.org/10.1007/978-3-319-99707-0_39

Cho S, May G, Tourkogiorgis I, Perez R, Lazaro O, de la Maza B et al. A hybrid machine learning approach for predictive maintenance in smart factories of the future. En von Cieminski G, Kiritsis D, Moon I, Park J, Lee GM, editores, Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings. 2018. p. 311-317. (IFIP Advances in Information and Communication Technology). doi: 10.1007/978-3-319-99707-0_39

Cho, Sangje ; May, Gökan ; Tourkogiorgis, Ioannis et al. / A hybrid machine learning approach for predictive maintenance in smart factories of the future. Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings. editor / Gregor von Cieminski ; Dimitris Kiritsis ; Ilkyeong Moon ; Jinwoo Park ; Gyu M. Lee. 2018. pp. 311-317 (IFIP Advances in Information and Communication Technology).

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