A new co-research initiative has been launched to advance engine safety and reliability through advanced predictive technologies, bringing together leading partners. The Early Detection of Extreme Engine Events (EDE3) initiative, managed in the WISE ecosystem, aims to develop a framework for real-time identification, characterisation and prevention of extreme engine events. The framework integrates on-engine monitoring, fault simulation modeling, and adaptive signal processing to fault prediction mapping. In addition, fault cases will be generated and validated through experimental testing.
Led by Turku University of Applied Sciences, the EDE3 initiative is a collaborative effort between Wärtsilä, Nome Oy, Agco Power Oy, Unikie Oy, and EDRMedeso Oy.
“The EDE3 research project is expected to advance the capabilities of engine diagnostics and predictive maintenance, supporting Wärtsilä and the wider industry in adapting to evolving energy systems,” says Dr Tero Frondelius, Senior Manager, Research & Method Development at Wärtsilä. “By exploring new approaches to early fault detection and digital modeling, the project will explore the possibility of greater reliability and efficiency, which are increasingly important as the energy transition accelerates. This research could help shape future practices and technologies across various industrial sectors,” Frondelius continues.
The project will run until July 2027. In September 2026, the results of the project will be shared to a wider ecosystem at a seminar during Suomen Mekaniikkapäivät.
WISE – short for Wide and Intelligent Sustainable Energy – is a pioneering initiative co-funded by Business Finland. With an ambitious goal of developing zero-emission balancing power, WISE aims to accelerate the transition to a fully decarbonised energy sector.
Further insights about the project are available in a WISE webinar with Mika Laurén, Leader of the Engine and powertrain research group at Turku University of Applied Sciences: Developing Innovative Technologies in the WISE Ecosystem