A systematic review of augmented reality applications in maintenance
Autor: | Rajkumar Roy, John Ahmet Erkoyuncu, Hosein Torabmostaedi, Riccardo Palmarini |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
QA75
0209 industrial biotechnology Maintenance Computer science General Mathematics 02 engineering and technology Industrial and Manufacturing Engineering Digital engineering Market fragmentation 020901 industrial engineering & automation Software 0202 electrical engineering electronic engineering information engineering Augmented Reality business.industry Tracking Systematic literature review Maturity (finance) Computer Science Applications Systematic review Risk analysis (engineering) Control and Systems Engineering Authoring Industrial maintenance 020201 artificial intelligence & image processing Augmented reality Performance indicator Artificial intelligence business |
ISSN: | 0736-5845 |
Popis: | Augmented Reality (AR) technologies for supporting maintenance operations have been an academic research topic for around 50 years now. In the last decade, major progresses have been made and the AR technology is getting closer to being implemented in industry. In this paper, the advantages and disadvantages of AR have been explored and quantified in terms of Key Performance Indicators (KPI) for industrial maintenance. Unfortunately, some technical issues still prevent AR from being suitable for industrial applications. This paper aims to show, through the results of a systematic literature review, the current state of the art of AR in maintenance and the most relevant technical limitations. The analysis included filtering from a large number of publications to 30 primary studies published between 1997 and 2017. The results indicate a high fragmentation among hardware, software and AR solutions which lead to a high complexity for selecting and developing AR systems. The results of the study show the areas where AR technology still lacks maturity. Future research directions are also proposed encompassing hardware, tracking and user-AR interaction in industrial maintenance is proposed. |
Databáze: | OpenAIRE |
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