Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Matteo Fazziani"'
Autor:
Andreas Werner, Roi Mendez-Rial, Pablo Salvo, Vasiliki Charisi, Joaquín Piccini, Alireza Mousavi, Claudio Civardi, Nikos Monios, Diego Bartolomé Espinosa, Marlène Hildebrand, Nikolas Zimmermann, Irati Vizcarguenaga Aguirre, Jacopo Cassina, Diego Nieves Avendano, Helder Oliveira, Daniel Caljouw, Matteo Fazziani, Silvia de la Maza
Publikováno v:
Lecture Notes in Production Engineering ISBN: 9783031186400
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::990e3805081fec5ab1959d26ce688695
https://doi.org/10.1007/978-3-031-18641-7_25
https://doi.org/10.1007/978-3-031-18641-7_25
Publikováno v:
30th International Conference on Flexible Automation and Intelligent Manufacturing
Procedia Manufacturing
Procedia Manufacturing
The proposed work describes a dynamic regression based event-tracker for high speed production process. The methodology discussed is a causal system and provides trends and estimations of the sensors based on a flexible regression model of the histor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3dc5e47c339a6c540c323988b23bc5a6
https://zenodo.org/record/4741895
https://zenodo.org/record/4741895
Publikováno v:
IFAC-Papers
The 4th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies 2020
The 4th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies 2020
A dynamic health indicator based on regressive event-tracker algorithm is proposed to accurately interpret the condition of critical components of machine tools in a production system and to predict their potential sudden breakdown based on future tr