Smart technology solutions for the NeTIRail-INFRA case study lines

Axle box acceleration and ultra-low cost smartphones

Conference paper (2018)

Authors

Alfredo Nunez Railway Engineering - CEG
Tudor Popa ADS Electronics
R.P.B.J. Dollevoet Railway Engineering - CEG
Z. Li Railway Engineering - CEG
Lucian Emmanuel Anghel ADS Electronics
J.M. Hendriks Railway Engineering - CEG
J. Moraal Railway Engineering - CEG
Laurentiu Dorin Buretea ADS Electronics
Jon Paragreen University of Sheffield
Berbece Miron RC‐CF
Mihail Campean RC‐CF
Research Group
Railway Engineering (CEG) (TU Delft)
Copyright: © 2018 Alfredo Nunez, Tudor Popa, Lucian Emmanuel Anghel, J.M. Hendriks, J. Moraal, Laurentiu Dorin Buretea, Jon Paragreen, Berbece Miron, Draghici Gheorghe, Mihail Campean, R.P.B.J. Dollevoet, Z. Li
Axle box acceleration measurements Railway technology Ultra-low cost smartphones Railway track quality Train ride comfort H2020 project
More Info
expand_more

Published Date

16-04-2018

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Civil Engineering & Geosciences

Department

Engineering Structures

Research Group

Railway Engineering

Abstract

In this paper, we present preliminary results on the development of smart technology solutions for lower density railway lines. The goal is to reach a cost effective inspection and asset management to minimize maintenance
interventions time/cost without dedicated inspection vehicles. The proposed methods include axle box acceleration measurements and ultra-low cost smartphones. The collected data will be further used to increase knowledge of the condition of the railway track and to estimate the comfort of passengers. In order to make use of the data, the data is interpreted and converted from monitoring information into management information. Feasibility and preliminary studies were conducted in the railway lines of Romania. The results presented in this paper were obtained in the framework of the H2020 project NeTIRail-INFRA, Work Package 4: Monitoring and Smart Technology.