A study on the application of convolutional neural networks for the maintenance of railway tracks

MJ Pappaterra, ML Pappaterra, F Flammini - Discover Artificial Intelligence, 2024 - Springer
This paper provides an overview of the applications of Convolutional Neural Networks
(CNN) in the railway maintenance industry. Our research covers specifically the subdomain …

[HTML][HTML] A graph convolutional network for optimal intelligent predictive maintenance of railway tracks

S MajidiParast, RN Monemi, S Gelareh - Decision Analytics Journal, 2024 - Elsevier
This study presents a prescriptive analytics framework for optimal intelligent predictive
maintenance of railway tracks. We use machine learning and Graph Convolutional Networks …

Deep Convolutional Neural Networks for Rail Surface Defect Perception

Y Wang, T Wang, Z Yang, S Ren… - … Conference on Image …, 2023 - ieeexplore.ieee.org
Rail surface defect inspection is a vital element for ensuring railway safety. We critically
analyze the application of deep convolutional neural networks (CNN) in Rail Surface Defect …

Broken Rail Track Detection System using Transfer Learning

RL Devarapalli, S Yalamanchili… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
The most affordable, practical, and long-distance as well as suburban, passenger transit in
India is provided by railways. Track crossings and hidden cracks in railroad tracks are the …

Train Track Crack Prediction Using CNN with LeNet-5 Architecture

SS Nandha, VP Athish… - … Conference on Futuristic …, 2022 - ieeexplore.ieee.org
Train track crack detection is a process of identifying cracks in the structure of railway tracks.
Railways are major modes of transport in India. The tracks must be in good condition for …

[PDF][PDF] Decision Analytics Journal

S MajidiParast, RN Monemi, S Gelareh - researchgate.net
This study presents a prescriptive analytics framework for optimal intelligent predictive
maintenance of railway tracks. We use machine learning and Graph Convolutional Networks …

[引用][C] DiscoverArtificial Intelligence