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EDGE - Edge Analytics for Smart Diagnostics in Digital Machinery Concept

EDGE - Edge Analytics for Smart Diagnostics in Digital Machinery Concept

The goal of EDGE project is the development of technical solutions for Edge analytics to provide machines and autonomous devices a high reliability and performance.

Today, increasing part of added value for new technical solutions comes from digitalization and advanced automation. Using Big data and cloud analytics, machines can be made more reliable, more energy efficient and the operation can be optimized. In EDGE project, the target is to transfer the capabilities of Big data and cloud processing to the Edge, enabling real-time safety-critical operation, regardless of communication availability and at the same time minimising data transfer costs.

The developed solutions and methods are utilised for the needs of machine industry. Analytics solutions enable smart diagnostics, predictive maintenance and optimisation of operation. The solutions are verified and validated using demonstrators (ship engines, mobile work machine, harbor crane, substation switching devices) and data collected from these systems.

IHA - Innovative Hydraulics and Automation

Funding source

Business Finland, Companies


Åbo Akademi University

University of Vaasa


Fingrid Oyj, KNL Networks, Meluta Oy, Ponsse Oyj, Quant Finland Oy, Silo AI Oy, Solita Oy, Top Data Science Oy, Wapice Oy, Wärtsilä Finland Oy, Epec Oy