JH

J.M. Hendriks

13 records found

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 ...
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 ...
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 ...
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 ...
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 ...
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 ...

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 ...

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 ...
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 ...
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 ...

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 ...