Ex-jobb- Optimising Infrared Heat Detection for Braking and Bearing Fault Identification in Railway Vehicles

Optimising Infrared Heat Detection for Braking and Bearing Fault Identification in Railway Vehicles

Background

Green Cargo is Sweden’s most experienced operator in rail logistics with roots in the origins of Swedish rail traffic. We deliver sustainable logistics solutions and are an important part of Scandinavia’s trade and industry. Over 98 percent of our transport operations are powered by fossil-free electricity. Every weekday, we run 350 freight trains and replace around 9,000 truck transports on the road network. In our network, we serve nearly 200 locations in Scandinavia, and with partners we reach the whole of Europe. We have 1,750 employees, transport approximately 20 million tonnes of goods and have an annual turnover of SEK 4.2 billion (2024).

Green Cargo wants to design and implement the optimal employee suggestion program (Swedish: förslagsverksamhet) to encourage ideas for continuous improvements and systematically manage these ideas—from evaluation to implementation—to maximize continuous improvements related to products, services, processes, assets, safety, workplace culture, and more.

Problem description, tasks, and goals

The project is structured into three main parts. First, to assess the accuracy of the detectors and the quality of the recorded data. Second, to analyse and identify situations that result in false positives and, in particular, false negatives, and to provide recommendations for improved alarm thresholds. Third, to propose suitable locations for future detector installations in order to enhance reliability and reduce the risk of heat-related failures.

The project is suited for M.Sc. students in Railway Engineering, Vehicle Engineering, Applied Mathematics, Machine Learning, Computer Science, or related disciplines.

Applicants should have prior experience with Python or Matlab, and an interest in data analysis, modelling, and applied research in railway systems.

• Category to which this degree project corresponds the best:
• ☒ Digitalization, AI and Data Analytics
• Type of degree project
• ☒ Master (20 weeks)
• Language for the thesis
• ☒ Swedish and/or ☒ English
• Is Swedish a language requirement?
• ☒ No, but Swedish is a requirement for future employment

Possibility to work from our office

☒ Yes

Contact Person

Mattias Wang, Maintenance Engineer

Mattias.Wang@Greencargo.Com