Winning degree project makes rail transport smarter

Note · 20 November 2020

This year’s Automation Student competition has been decided. Ajna Hodzic and Dzenita Skulj have explored, in their prizewinning degree project, how data analysis and machine learning can reduce costs, predict maintenance and improve efficiency in rail transport. The degree project, Data Driven Anomaly Control Detection for Railway Propulsion Control Systems, has been carried out at Bombardier Transportation in Västerås, where the authors have investigated different methods for monitoring and analysing data collected during the propulsion of trains. Two machine learning techniques – monitored and unmonitored learning – are used to detect deviations and predict potential faults.

Read more about the winning degree project

Long-term cooperation for increased growth in Swedish companies

Note · 18 May 2020

Throughout Sweden, innovation environments are established with the mission of promoting increased collaboration between researchers, SME’s and industry. Through meeting places and activities, the innovation environments contribute to faster growth in Swedish companies. Now, four strong innovation environments come together to optimize B2B networking and development in a pilot project.

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