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Railway infrastruct...
Railway infrastructure monitoring by drones
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- Flammini, Francesco, Senior Lecturer, 1978- (författare)
- Ansaldo STS, Italy
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- Pragliola, Conetta (författare)
- Ansaldo STS, Italy
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- Smarra, Giovanni (författare)
- Ansaldo STS, Italy
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(creator_code:org_t)
- IEEE, 2017
- 2017
- Engelska.
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Ingår i: 2016 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles and International Transportation Electrification Conference, ESARS-ITEC 2016. - : IEEE. - 9781509008148
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- In recent years, there has been an increasing interest in the adoption of drones for monitoring a variety of infrastructures. Infrastructure monitoring systems are widely adopted to detect faults before they can lead to severe failures. They can be found in a number of civil structures, including bridges and viaducts, and also in many other applications of smart-maintenance, prognostics, health and security monitoring. This paper explores the usage of drones in railways for early warning, situation assessment and decision support applications. It leverages already available technological and research achievements for drone-based surveillance. The aim of the study is to preliminarily evaluate drone capabilities in a railway monitoring framework including structural faults and security threat detection as well as investigation on the consequences of natural hazards and intentional attacks. © 2016 IEEE.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)
Nyckelord
- diagnostics
- maintenance
- mass-transit
- physical security
- Situation assessment
- structural health
- Bridges
- Decision support systems
- Drones
- Electric railroads
- Electric utilities
- Fault detection
- Fighter aircraft
- Plasma diagnostics
- Propulsion
- Railroads
- Roads and streets
- Ship propulsion
- Ships
- Structural health monitoring
- Transportation
- Unmanned aerial vehicles (UAV)
- Decision support applications
- Infrastructure monitoring
- Mass transit
- Railway infrastructure
- Research achievements
- Railroad transportation
- Computer Science
- Datavetenskap
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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