Railway infrastructure monitoring by drones

Flammini, Francesco; Pragliola, Concetta; Smarra, Giovanni

doi:10.1109/esars-itec.2016.7841398

Cited by 66 publications

(29 citation statements)

References 13 publications

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“…Железная дорога -это сложное инженерное сооружение, требующее соблюдения различных нормативных документов в процессе своего строительства и эксплуатации. По данным съемки железных дорог с помощью БПЛА возможно оперативно выполнить построение продольных и поперечных профилей, определить геометрические параметры рельсовой колеи, междупутное расстояние, габариты приближения строений [10][11][12][13][14]. Точность определения данных расстояний не должна быть при этом меньше 3 см [15].…”

Section: методы и материалыunclassified

Application of Unmanned Aerial Vehicles for the as-Built Survey of Railways

Altyntsev¹,

Shcherbakov

Tretyakov

2019

Interexpo GEO-Siberia

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The as-built survey of railways is one of unmanned aerial vehicle (UAV) application fields. Digital surface models (DSM) are the results of UAV survey data processing. Concerning railways, they are used for receiving information about railway track position and distance between tracks, obstruction clearance, for generating longitudinal and cross profiles. For generating high accuracy DSM, regularly distributed control and check points within a survey area are necessary to be used. As these points rail track axis points, measured during a hardware-software system «Profile-M» movement, can be used. The goal of the article is the accuracy study of DSM generation whose ex-ternal orientation was carried out with railway track axis points measured with this hardware-software system.

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Section: методы и материалыunclassified

Application of Unmanned Aerial Vehicles for the as-Built Survey of Railways

Altyntsev¹,

Shcherbakov

Tretyakov

2019

Interexpo GEO-Siberia

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“…The Hexacopter was outfitted with three ST H3LIS331DL three-axis digital accelerometers [5], as shown in Figure 10. These accelerometers were placed on every other arm (#1, #3, and #5) and orientated such that their x-axis pointed along the arm, from the central hub outward to the motor and their z-axis pointed upward.…”

Section: Data Acquisition From External Accelerometers and Processingmentioning

confidence: 99%

“…The accelerometers were configured to sample at 1 kHz using their internal oscillator and to have a full range measurement of ±100 g. The sensors have a 16 bit, two's complement output, giving them a quantized precision of 3.05 × 10 −3 g. The raw data were converted to g by dividing by 327.68. A few salient details of the accelerometers [5] are listed below in Table 3. Additional details can be found in [14].…”

Section: Data Acquisition From External Accelerometers and Processingmentioning

confidence: 99%

“…They are used as toys, platforms for commerce, or as vehicles for the testing and validation of advanced research topics in various scientific fields. There have been numerous instances of drones used in civilian applications such as aerial photography for various applications [1,2], crop monitoring [3,4], infrastructure assessment [5], as well as in disaster recovery [6], law enforcement, and many other applications.…”

Section: Introductionmentioning

confidence: 99%

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Flights of a Multirotor UAS with Structural Faults: Failures on Composite Propeller(s)

Gururajan

Mitchell

Ebel

2019

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Data acquired from several flights of a custom-fabricated Hexacopter Unmanned Aerial System (UAS) with composite structure (carbon fiber arms and central hub) and composite (carbon fiber) propellers are described in this article. The Hexacopter was assembled from a commercially available kit (Tarot 690) and flown in manual and autonomous modes. Takeoffs and landings were under manual control and the bulk of the flight tests was conducted with the Hexacopter in a “position hold” mode. All flights were flown within the UAS flight cage at Parks College of Engineering, Aviation and Technology at Saint Louis University for approximately 5 min each. Several failure conditions (different types, artificially induced) on the composite (carbon fiber) propellers were tested, including failures on up to two propellers. The dataset described in this article contains flight data from the onboard flight controller (Pixhawk) as well as three accelerometers, each with three axes, mounted on the arms of the Hexacopter UAS. The data are included as supplemental material.

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“…Luckily, in recent years, sensor devices have become cheaper. Examples are in networking technologies, and different types of the cheap devices, like smart phones, accelerometers installed on trains and drones [1][2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

A Condition-Based Maintenance Methodology for Rails in Regional Railway Networks Using Evolutionary Multiobjective Optimization

Núñez

Jamshidi

Wang

et al. 2018

2018 IEEE Congress on Evolutionary Computation (CEC)

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2018). A condition-based maintenance methodology for rails in regional railway networks using evolutionary multiobjective optimization: Case study line Braşov Abstract--In this paper, we propose a methodology based on signal processing and evolutionary multiobjective optimization to facilitate the maintenance decision making of infra-managers in regional railways. Using a train in operation (with passengers onboard), we capture the condition of the rails using Axle Box Acceleration measurements. Then, using Hilbert-Huang Transform, the locations where the major risks are detected and assessed with a degradation model. Finally, evolutionary multiobjective optimization is employed to solve the maintenance decision problem, and to facilitate the visualization of the trade-offs between number of interventions and performance. Real-life measurements from the track from Bra ov to Z rne ti in Romania are included to show the methodology.

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Railway infrastructure monitoring by drones

Cited by 66 publications

References 13 publications

Application of Unmanned Aerial Vehicles for the as-Built Survey of Railways

Application of Unmanned Aerial Vehicles for the as-Built Survey of Railways

Flights of a Multirotor UAS with Structural Faults: Failures on Composite Propeller(s)

A Condition-Based Maintenance Methodology for Rails in Regional Railway Networks Using Evolutionary Multiobjective Optimization

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