News

Dissertation Iman Soleimanmeigouni - Operation and Maintenance Engineering

Predictive Models for Railway Track Geometry Degradation

Digitized control for future railway switches

With a large number of sensors and the collection of large amounts of data, researchers at Luleå University of Technology will, using smart algorithms, produce more reliable analyzes for the health of railway switches. This technology aims to find a method for more efficient maintenance and less int...

Veronica Jägare in jury of the Structon Innovation Award

Veronica Jägare is the head of Luleå Railway Research Center at Luleå University of Technology and project manager for ePilot who won the Strukton Innovation Award 2017.

SafePos paves the way for safer working environment

Meeting with IF Metal Norrbotten was carried out at the Division of Operation and Maintenance Engineering - Luleå University of Technology on August 21, 2019 for presentation of newly developed computer vision based software in health monitoring and pose detection of human at work.

Dissertation Esi Saari - Operation and Maintenance Engineering

KPI framework for maintenance management through eMaintenance-development, implementation, assessment

Diego Galar talk on Industrial AI

Industrial AI - The Driving Force of Manufacturing - Diego Galar, Luleå University of Technology

In the media: 5 minutes with Diego Galar

“Rail is amazing and definitely the future for Europe. The EU has made huge efforts to shift traffic from road to rail and research and innovation for railways is supporting those policies.”

In the media: Technology can predict railway faults

At the Luleå Railway Research Center at Luleå University of Technology (LTU), the state of the railway can be checked by means of sensors. With sensors on trains and on the tracks, disturbances and faults can be anticipated.