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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| Formato: | Online |
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| Idioma: | inglês |
| Publicado em: |
MDPI - Multidisciplinary Digital Publishing Institute
2024
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| Acesso em linha: | ONIX_20240704_9783725812691_195 |
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| _version_ | 1869528169695936512 |
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| collection | Directory of Open Access Books |
| description | 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, encompassing advanced analytical and numerical simulation methodologies, alongside experimental contributions applied to the field of railway infrastructure. The scientific themes explored in this issue can be outlined as follows: structural integrity; structural condition assessment; automatic damage detection/identification; wayside and onboard monitoring systems; digital twins; model calibration and validation; novel health monitoring; new sensors and technologies (photogrammetry, laser scanning, drones, wireless); computer vision techniques; non-destructive testing (NDT); remote inspection strategies; BIM; Big Data and Internet of Things; artificial intelligence; augmented reality and virtual reality; disaster risk reduction; emergency management; intelligent management systems; condition assessment under extreme load scenarios/climate changes (wind, seismic, flooding, scour). As the Guest Editors, we express our gratitude to all authors who contributed papers to this Special Issue. All the papers published were peer-reviewed by experts in the field, whose insightful comments significantly enhanced the overall quality of the publication. |
| format | Online |
| id | doab-20.500.12854ir-139399 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1393992024-07-04T09:50:24Z Advances in Condition Monitoring of Railway Infrastructures Mosleh, Araliya Ribeiro, Diogo Malekjafarian, Abdollah Martínez-Rodrigo, Maria D. 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 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 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, encompassing advanced analytical and numerical simulation methodologies, alongside experimental contributions applied to the field of railway infrastructure. The scientific themes explored in this issue can be outlined as follows: structural integrity; structural condition assessment; automatic damage detection/identification; wayside and onboard monitoring systems; digital twins; model calibration and validation; novel health monitoring; new sensors and technologies (photogrammetry, laser scanning, drones, wireless); computer vision techniques; non-destructive testing (NDT); remote inspection strategies; BIM; Big Data and Internet of Things; artificial intelligence; augmented reality and virtual reality; disaster risk reduction; emergency management; intelligent management systems; condition assessment under extreme load scenarios/climate changes (wind, seismic, flooding, scour). As the Guest Editors, we express our gratitude to all authors who contributed papers to this Special Issue. All the papers published were peer-reviewed by experts in the field, whose insightful comments significantly enhanced the overall quality of the publication. 2024-07-04T09:50:17Z 2024-07-04T09:50:17Z 2024 book ONIX_20240704_9783725812691_195 9783725812691 9783725812707 https://directory.doabooks.org/handle/20.500.12854/139399 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/9399 https://mdpi.com/books/pdfview/book/9399 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-1270-7 10.3390/books978-3-7258-1270-7 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725812691 9783725812707 198 open access |
| spellingShingle | 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 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 Advances in Condition Monitoring of Railway Infrastructures |
| title | Advances in Condition Monitoring of Railway Infrastructures |
| title_full | Advances in Condition Monitoring of Railway Infrastructures |
| title_fullStr | Advances in Condition Monitoring of Railway Infrastructures |
| title_full_unstemmed | Advances in Condition Monitoring of Railway Infrastructures |
| title_short | Advances in Condition Monitoring of Railway Infrastructures |
| title_sort | advances in condition monitoring of railway infrastructures |
| topic | 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 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 |
| topic_facet | 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 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 |
| url | ONIX_20240704_9783725812691_195 |