JH
J.M. Hendriks
13 records found
1
Authored
Inefficient management of rail surface defects can increase maintenance costs, safety hazards, service disruptions, and catastrophic failures like rail breaks. To achieve adequate management, having effective technology capable of timely detecting and frequently monitoring rail d
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Detection of Rail Surface Defects based on Axle Box Acceleration Measurements
A Measurement Campaign in Sweden
This work presents the results of a measurement campaign to demonstrate the effectiveness of the axle box acceleration (ABA) technology for detecting rail defects. The measurements were conducted along the Iron Ore line between Sweden and Norway for the IN2TRACK3 project. This li
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Condition monitoring of railway transition zones using acceleration measurements on multiple axle boxes
Case studies in the Netherlands, Sweden, and Norway
Railway transition zones connecting conventional embankments and rigid struc-tures, such as bridges and tunnels, usually degrade much faster than other railway sections. Efficient health condition monitoring of transition zones is important for preventative track maintenance. In
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Aiming to handle the increasing variety and volume of railway infrastructure monitoring data, this paper explores the use of intelligent data fusion methods for automatic anomaly detection of railway catenaries. Three classical data dimensionality reduction methods, namely the pr
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A multiple spiking neural network architecture based on fuzzy intervals for anomaly detection
A case study of rail defects
In this paper, a fuzzy interval-based method is proposed for solving the problem of rail defect detection relying on an on-board measurement system and a multiple spiking neural network architecture. Instead of outputting binary values (defect or not defect), all data will belong
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A condition-based maintenance methodology for rails in regional railway networks using evolutionary multiobjective optimization
Case study line Braşov to Zărneşti in Romania
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
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Rail Condition Monitoring using Axle Box Acceleration Measurements
Defect detection in the Netherlands and Romania
In this paper we discuss rail condition monitoring based on axle box acceleration (ABA) measurements. We present three case studies. The first one in The Netherlands, the detection of local defects with different severity levels (squat A, squat B and squat C) is analysed. The sec
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Smart technology solutions for the NeTIRail-INFRA case study lines
Axle box acceleration and ultra-low cost smartphones
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 vehic
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Results on the development of smart technology solutions for lower density
railway lines are presented. The goal is to reach a cost effective inspection and
asset management to minimize maintenance interventions time/cost without
dedicated inspection vehicles. The proposed method
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La industria ferroviaria a nivel mundial necesita de una gran cantidad de nuevos
profesionales, capaces de resolver los crecientes desafíos que este modo presenta. Siendo una industria por lo general conservadora, atraer a las y los mejores no es tarea fácil. En este resumen, se
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Contributed
In this thesis Axle Box Acceleration (ABA) data is used to determine the health condition of Insulated Rail Joints (IRJs) to investigate the potential of ABA data in predictive maintenance. Using frequency characteristics from the Continuous Wavelet Transformation (CWT), the main
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