City Research Online

Improving efficiency of industrial maintenance with context aware adaptive authoring in augmented reality

Erkoyuncu,, J. A., Fernandez del Amo, I., Dalle Mura, M. and Roy, R. ORCID: 0000-0001-5491-7437 (2017). Improving efficiency of industrial maintenance with context aware adaptive authoring in augmented reality. CIRP Annals, 66, pp. 465-468. doi: 10.1016/j.cirp.2017.04.006

Abstract

Efficiency of industrial maintenance operation is significantly dependent on the skill and practice of the technicians involved. This paper demonstrates a novel approach to improve the maintenance efficiency through adaptive operational support using a context aware Augmented Reality (AR) technique that adapts with available data and the skill level of the technicians and without the need for prior working knowledge of AR. The AR system can be dynamically adapted by non-programmer maintenance technicians to improve the efficiency further.

Publication Type: Article
Additional Information: © 2017 The Authors. Published by Elsevier Ltd on behalf of CIRP. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Publisher Keywords: Augmented reality, Maintenance, Adaptive authoring
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology
Departments: School of Mathematics, Computer Science & Engineering
URI: http://openaccess.city.ac.uk/id/eprint/22031
[img]
Preview
Text - Published Version
Available under License Creative Commons Attribution.

Download (1MB) | Preview

Export

Downloads

Downloads per month over past year

View more statistics

Actions (login required)

Admin Login Admin Login