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Mohammed Taha, the Swedish Transport Administration and Malin Berg student LTU
MSc student Malin Berg Luleå University who presented the thesis, along with the Administration Mohammed Taha who reported subprojects in ePilot119 View original picture , opens in new tab/window

Diagnosis for better rail maintenance

Published: 10 June 2014

Handling of data to generate information to fact-based decisions for railway maintenance is the theme of a subproject and a thesis at Luleå University of Technology. Work is about one of the subprojects within ePilot119 led by Railway Research Center (JVTC) at Luleå University of Technology in collaboration with the Transport Authority and a number of other players

- The idea is to learn from all the statistics available in the system and by analyzing trends, measures maintenance planned better, says Malin Berg, who is studying civil engineering at program Industrial Management, focusing quality at Luleå University.

Within the project ePilot119, which includes a section of railway between Luleå and Boden with various test points, made separate studies in the form of research projects. One of these sub-projects have recently been reported and in this context has also Malin Berg presented their thesis. She has looked at how statistical analysis can be useful for Transport Administration to improve the capacity and robustness in the Swedish railway. The application of her results will be further developed in the context of ePilot119. Her thesis was recognized simultaneously with the final report of a project within ePilot119 and both have a focus on maintaining railway infrastructure.

- The project shows how we can take advantage of low hanging fruit to improve the railway and its maintenance in an efficient manner. The challenge is usually to implement the results of the business, but we can probably solve it by using the results and experience ePilot119 said Peter Söderholm, Transport Administration, also an adjunct professor at Luleå University's supervisor for the thesis.