ir. S.E. Scheffer (Sara) | Universiteit Twente

Engineering & Materials Science

# Augmented Reality
# Fault Detection
# Industry
# Information Technology
# Machine Learning

Physics & Astronomy

# Industries
# Maintenance
# Operators

Faculty of Engineering Technology (ET), Asset Management & Maintenance Engineering (AMME)

Scheffer, S. E. , Martinetti, A. , Damgrave, R. G. J. , Rosic, B. , & van Dongen, L. A. M. (2021). Troubleshooting: a dynamic solution for achieving reliable fault detection by combining augmented reality and machine learning. In 10th International Conference on Through-life Engineering Service https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3945964

Scheffer, S. , Martinetti, A. , Damgrave, R. , & Van Dongen, L. (2021). Augmented reality for IT/OT failures in maintenance operations of digitized trains: Current status, research challenges and future directions. Procedia CIRP, 100, 816-821. https://doi.org/10.1016/j.procir.2021.05.038

Scheffer, S. , Martinetti, A. , Damgrave, R. , Thiede, S. , & van Dongen, L. (2021). How to Make Augmented Reality a Tool for Railway Maintenance Operations: Operator 4.0 Perspective. Applied Sciences, 11(6), Article 2656. https://doi.org/10.3390/app11062656

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s.e.scheffer@utwente.nl

Bezoekadres

Universiteit Twente
Faculty of Engineering Technology
Horst Complex (gebouwnr. 20)
De Horst 2
7522LW Enschede

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Postadres

Universiteit Twente
Faculty of Engineering Technology
Horst Complex
Postbus 217
7500 AE Enschede

Faculty of Engineering Technology (ET), Asset Management & Maintenance Engineering (AMME)

Universiteit Twente Drienerlolaan 5
7522 NB Enschede

+31 (0)53 489 9111
info@utwente.nl
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