Advances in Condition Monitoring of Railway Infrastructures

This Special Issue compiles recent research studies, findings, and accomplishments pertaining to the advanced planning, construction, monitoring, maintenance, and administration of railway infrastructure. Within this collection, a diverse range of innovative and unique research topics is featured, e...

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Detalhes bibliográficos
Corporate Authors: Mosleh, Araliya, Ribeiro, Diogo, Malekjafarian, Abdollah, Martínez-Rodrigo, Maria D.
Formato: Livro
Idioma:Inglês
Publicado em: MDPI - Multidisciplinary Digital Publishing Institute 2024
Assuntos:
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBC Engineering: general
expressway
bridge
subgrade
wind-blown sand flow field
sand transport
moving load localisation
nothing-on-road
free-of-axle-detector
bridge weigh-in-motion
structural health monitoring
field validation
continuous wavelet transformation
machine learning
fully convolutional networks
corroded bolt detection
computer vision
color enhancement
ensemble learning
semantic segmentation
point cloud
railway infrastructure
deep learning
terrestrial laser scanner
catenary arch
wheel flat detection
wayside condition monitoring
train-track interaction
unsupervised learning
railway
digitalization
freight
monitoring
wagon
infrastructure
railway infrastructure monitoring
track damage detection
SHM
acceleration
in-service train measurements
drive-by monitoring
ANN
object detection
pantograph–catenary interaction
infrastructure monitoring
experimental results
rail surface defect detection
few-shot learning
prototype learning
transfer learning
unsupervised anomaly detection
n/a
Acesso em linha:https://directory.doabooks.org/handle/20.500.12854/139399
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