Sensor Networks for Railway Monitoring: Detecting Trains from their Distributed Vibration Footprints

Berlin, Eugen; Laerhoven, Kristof Van

doi:10.1109/dcoss.2013.38

Cited by 29 publications

(18 citation statements)

References 14 publications

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“…A method wherein based on the vibrations of the passing trains,utilizing rich extracted feature sets, the deployed sensor nodes can identify the train type i.e. slow, fast, passenger, goods, and determine faulty wheels has been presented in [4]. Using trains as data mules to relay information about railway infrastructure from locations/areas where this is no direct access to Internet has been put forward in [7].…”

Section: Related Workmentioning

confidence: 99%

“…Wildlife monitoring serves in direction of protecting and conserving the animals by recording the various activities of a given species and other parameters concerning the species. Similarly, deployment of WSNs within structures such as bridges, dams, roads and buildings enables effective monitoring of these structures to minimize maintenance -repair cost and preventing loss of life and property that could result due to structural damage [1], [3], [4]. Wildlife monitoring and structural monitoring are primarily non -linked research areas.…”

Section: Introductionmentioning

confidence: 99%

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Wildlife conservation and rail track monitoring using wireless sensor networks

Mathur

Nielsen

Prasad

et al. 2014

2014 4th International Conference on Wireless Communications, Vehicular Technology, Information Theory and Aerospace &Amp; Elec

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In this paper we put forward an approach, first of its kind, to collectively address conservation of elephants by preventing their death being overrun by trains and monitoring the integrity of the rail track. It utilizes a unique method for deterring the elephants using infrasonic sound from crossing the rail track. For obtaining this output the sensing devices are placed in proximity areas of the rail track using a novel passive node mobility mechanism. These devices act as an input to the actual sensing nodes, that would emit the infrasonic sound. Utilizing a novel two -cycle communication and sensing check the integrity of the rail track is evaluated and the result is informed to the regional base station (RBS). The proposed approach offers a promising solution to the two issues, subject to field evaluation and validation.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Wildlife conservation and rail track monitoring using wireless sensor networks

Mathur

Nielsen

Prasad

et al. 2014

2014 4th International Conference on Wireless Communications, Vehicular Technology, Information Theory and Aerospace &Amp; Elec

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“…The range of sensing technologies has expanded rapidly, and sensor devices have simultaneously become cheaper. For example, networking technologies, WSNs, smart phones, accelerometers installed on trains, drones and video cameras have all developed and become less expensive [4], [5]. In this paper, extending the traditional concept of what a train does is proposed, which is transporting people or goods, to include performing monitoring tasks.…”

Section: Introductionmentioning

confidence: 99%

Pareto-Based Maintenance Decisions for Regional Railways With Uncertain Weld Conditions Using the Hilbert Spectrum of Axle Box Acceleration

Núñez

Jamshidi

Wang

2019

IEEE Trans. Ind. Inf.

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Abstract1 -This paper presents a Pareto-based maintenance decision system for rail welds in a regional railway network. Weld health condition data are collected using a train in operation. A Hilbert spectrum-based approach is used for data processing to detect and assess the weld quality based on multiple registered dynamic responses in the axle box acceleration measurements. The assessment of the welds is stochastic in nature and variant over time, so a set of robust and predictive key performance indicators is defined to capture the weld degradation dynamics during a given maintenance period. Using a scenario-based approach, two objective functions are defined, performance and the number of weld replacements. Evolutionary multi-objective optimization is employed to optimize the objective functions so that the trade-offs between performance and cost support decision-making for railway network maintenance. The results of the proposed methodology show that the infrastructure manager can localize field inspections and maintenance efforts on the area with the most critical welds. To showcase the capability of the proposed methodology, measurements from a regional railway network in Transylvania, Romania are employed.

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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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Sensor Networks for Railway Monitoring: Detecting Trains from their Distributed Vibration Footprints

Cited by 29 publications

References 14 publications

Wildlife conservation and rail track monitoring using wireless sensor networks

Wildlife conservation and rail track monitoring using wireless sensor networks

Pareto-Based Maintenance Decisions for Regional Railways With Uncertain Weld Conditions Using the Hilbert Spectrum of Axle Box Acceleration

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

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