Dr. Petar Durdevic talking about the drone research at Aalborg University

Integrating AI in Drone Navigation for Wind Turbine Inspections

The recorded version of the webinar is now available.

The ever-increasing wind energy sector drives the installation of more and more wind turbines, onshore, and offshore. These wind turbines require maintenance and regular inspections. Currently, rope access inspection, ground-based camera inspection, and drone-based inspection are the three ways in which wind turbine inspections are commonly performed, and their market share is 83%, 10%, and 7%, respectively. As the number of wind turbines increases, such predominantly manual techniques will become insufficient, the aim of the research team at Aalborg University is to increase the potential of drone inspections through automation. In this webinar, Dr. Petar Durdevic from the Department of Energy Technology at Aalborg University talks about the research in their lab using Quanser’s Autonomous Vehicles Research Studio to test new ideas that help them navigate autonomously in the offshore environment.

Dr. Petar Durdevic is an Assistant Professor at the Department of Energy Technology, Aalborg University, Denmark.  His research is focused on modeling, control, and instrumentation, working with different industries within the offshore oil and gas, and wastewater treatment. Petar is also part of the robotics team, developing drone systems for inspection and maintenance purposes.