Affiliation:
1. INP TOULOUSE
2. ENIT
3. Oxford Brookes University
Abstract
Airport is one of the most important infrastructure that have exhibited substantial growth and profits in recent years. Although airport infrastructure represents an important part in the economy of cities, researches have shown that many incidents that have led to flight disruptions have often occurred in airport infrastructure. Also, maintenance cost of airport buildings has increased significantly necessitating a call from professionals to investigate efficient methods of curbing the same. Hence, cost reduction is possible by innovating methods thanks to predictive maintenance techniques, which are based on artificial intelligence. However, working on the innovation of techniques that modernize maintenance in airport buildings is very hard due to the many types of cause incidents that exist. In fact, incidents can be caused due to different reasons (Structural, Electrical, Hydraulic, Computing, Unknown, etc.) This paper tackles this challenge by investigating and identifying the most frequent damages and their origins in airport infrastructure. The result showed that cracks are the most frequent type of damages and that wear is the most frequent origin of incidents in airport infrastructure. Also, it shows that 85,51% of cracks are located in runways. These findings help in better understanding the problem and serve as the point of departure for researchers who are interested in solving it.
Publisher
Akademik Perspektif Dernegi