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Järnvägtekniskt Centrums seminarium 5 december 2019

Publicerad: 20 december 2017

Presentationer och program


Introduction by the director

Presenter: Uday Kumar, director JVTC, chaired professor Operation and Maintenance


An overview of track geometry maintenance planning

Presenter: Hamid Khajehei, PhD student, Operation and Maintenance

The aim of this presentation is to identify and discuss the main issues and challenges on railway track geometry maintenance planning. Since the maintenance planning is a complex task, simulation is a popular approach in this area and it will be discussed in depth. In order to simulate the long-term behavior of track geometry, a maintenance strategy should be adopted to track geometry evolution model. Also, available methods for maintenance planning and the related issues will be discussed.


In2Rail – Requirements and Initial Concept for an Asset Management Framework (T6.2)

Presenter: Christer Stenström, Associate Senior Lecturer, Operation and Maintenance

The purpose of D6.2 is to provide the requirements and initial concept of a framework for performance prediction, modelling and decision support for railway asset management, taking into account UIC asset management (AM) guidelines, rail infrastructure performance and constraints on resources and the supply chain, as the latter is defined above.

To this end, two objectives have been formulated:

1. Develop a key performance indicator (KPI) decision framework for railway assets, to benefit IMs, supply chains, and other stakeholders.

2. Define a framework for performance prediction, modelling and decision support.


Effects on increased axle load for heavy freight trains

Presenter: Thomas Nordmark, PhD student, Operation and Maintenance

What are the effects of maintenance costs when axle load is increasing?


Railway track signatures and anomaly detection in modulated magnetic fields

Presenter: Praneeth Chandran, PhD student, Operation and Maintenance

The presentation will focus on:

the proposed fastener inspection method
results obtained from field test (iron ore track in Abisko-Riksgränsen) and lab test (LTU Test Track)
Anomaly detection
anomaly detection using machine learning techniques based on the sensor signal
Planned and Future work


Thesis presentation: Wheel measurements

Presenter: Christian Gustavsson, student; Matti Rantatalo, supervisor, Operation and Maintenance

Veronica Jägare

Veronica Jägare, Biträdande verksamhetsledare

Telefon: 0920-491629
Organisation: Drift och underhållsteknik, Drift, underhåll och akustik, Institutionen för samhällsbyggnad och naturresurser