Using Accelerometers to Improve Real Time Railway Monitoring Systems Based on WSN

Santos, Suzane G. dos; Araujo, Iury; Anjos, Eudisley Gomes dos; Araújo, Rômulo César Carvalho de; Belo, Franscisco A.

doi:10.1007/978-3-319-62407-5_58

Cited by 2 publications

(1 citation statement)

References 13 publications

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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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