Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Sara Scheffer"'
Publikováno v:
Applied Sciences, Vol 11, Iss 6, p 2656 (2021)
In the last few decades, several initiatives and approaches are set up to support maintenance procedures for the railway industry in adopting the principles of Industry 4.0. Contextualized maintenance technologies such as Augmented Reality (AR) overl
Externí odkaz:
https://doaj.org/article/97f9d31cf6334113b1c5c9aa67611460
Publikováno v:
Procedia CIRP. 100:816-821
The railway industry is moving towards a complex socio-technological system that relies on computer control and human-machine interfaces. Digitization and convergence of information technology (IT) with operational technology (OT) becomes increasingl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bec33f7a11b6edd8d5b6cbafad85d777
https://doi.org/10.1016/j.procir.2021.05.038
https://doi.org/10.1016/j.procir.2021.05.038
Autor:
Sara Scheffer, Alberto Martinetti, Roy Damgrave, Bojana Rosic, Leonardus Adriana Maria van Dongen
Publikováno v:
10th International Conference on Through-life Engineering Service
University of Twente Research Information (Pure Portal)
University of Twente Research Information (Pure Portal)
Today’s perplexing maintenance operations and rapid technology development require an understanding of the complex working environment and processing of dynamic and real-time information. However, the environment complexity and an exponential incre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2cce0ea01836939d2e9173932021fd88
https://research.utwente.nl/en/publications/troubleshooting-a-dynamic-solution-for-achieving-reliable-fault-detection-by-combining-augmented-reality-and-machine-learning(2b2408d1-cc1d-4905-a45b-1bf6289f712a).html
https://research.utwente.nl/en/publications/troubleshooting-a-dynamic-solution-for-achieving-reliable-fault-detection-by-combining-augmented-reality-and-machine-learning(2b2408d1-cc1d-4905-a45b-1bf6289f712a).html
