Convolutional Neural Networks combined with autonomous drones are increasingly seen as
enablers of partially automating the aircraft maintenance visual inspection process. Such an …

Aircraft maintenance is a complex process that requires a highly trained, qualified, and
experienced team. The most frequent task in this process is the visual inspection of the …

Sustainability is becoming a major strategic driver within the aviation industry, which has
moved from providing primarily economic benefits to delivering the 'triple bottom line' …

The YOLO neural network has been selected to do automatic recognition of corrosion and
fatigue defects on aircraft surface in this paper. The aircraft surface defect detection models …

The aim of this research is to identify the optimized outcomes to the aviation maintenance
repair and overhaul (MRO) business service provider with the effective use of “DRONES” in …

This chapter investigates benefits and associated safety concerns imposed by new
technology and innovative process of aircraft inspection using drones. The assessment of …

Bu çalışma, sivil havacılık MRO endüstrisinin problem alanlarını ve bu problemlerin çözümü
için araştırmacıların kullandıkları data analytics yöntemlerini, kapsamlı bir literatür taraması …

Brazilian energy distribution companies are investing in automatic circuit reclosers (ACRs)
to optimize their energy grids. These devices often require specialists to maintain. Training …

A novel wing icing area recognition method based on morphological processing enhanced
U-Net network is presented in this paper so as to solve the problem of complex boundary …

Civil aircraft is the most complicated production of the world and during the manufacture
various kinds of manufacture nonconformities occur at times. Superfluous hole is one of the …