News

Visionary interview with Diego Galar

Hyperright magazine has interviewed Professor Diego Galar about digital twins, dark factories and more.

Dissertation Mike Gerdes - Operation and Maintenance Engineering

Predictive Health Monotoring for Aircraft System using Decision Trees and Genetic Evolution

LTU builds advanced AI factory for railway

AI technology that manages to predict the operational and maintenance needs of the railways in Sweden - and that facilitated the automation of maintenance and repair decisions. The AI Factory will simplify the decision-making process in maintenance through an advanced AI platform aimed for operation...

In the media: Wheel failure no longer problems in train traffic

It started with an e-pilot project in collaboration with, among other things, Luleå University of Technology and the Railway Technical Center to test whether the Swedish Transport Administration's wheel injury detectors could be used preventively to check the equipment.

Dissertation Yamur Al-Douri - Operation and Maintenance Engineering

Two-Level Multi-Objective Genetic Algorithm for Risk-based Life Cycle Cost Analysis

AI and maintenance for India's mining industry

Researchers from Luleå University of Technology start a collaboration with India's mining industry where industrial AI and maintenance engineering are in focus. It is the research group in operation and maintenance engineering that now opens the door to a huge and exiting market.

In the media: How industrial AI is driving the manufacturing industry

“Manufacturing is the sector that generates far more data than any other sector,” stated Diego Galar, Professor of Condition Monitoring at Lulea University of Technology and Head of Maintenance & Reliability at Tecnalia at his presentation on industrial AI at Data Innovation Summit 2019.

Pierre Dersin, adjunct professor in Operation and Maintenance Engineering

Pierre Dersin was born in 1953 in Belgium, a country that was among the first in Europe to expand the railroad. Today, he works with artificial intelligence to streamline the maintenance systems in the railways and thus make the trains more punctual.