Academy of Finland
Funding decision
 
Name Alves, Hirley
Organisation OY
Project title
Framework for the Identification of Rare Events via Machine learning and IoT Networks (FIREMAN)
Decision No. 326301
Decision date 17.12.2018
Funding period 01.05.2019 - 30.04.2022
Funding 216 979
WebFOCUS Report
Project description
This project focuses on how to optimize the prediction, detection and respective interventions of rare events in industrial processes based on large-scale data acquisition/dissemination, big data fusion and big data analytics. The proposed framework relies on an IoT network that aims at ultra-reliable detection/prevention of rare events related to a predetermined industrial physical process. The framework will be process-independent, but the demonstrated solutions will be designed case-by-case. As proof-of-concept, our approach will be applied to predictive maintenance in an automotive industrial plant from SEAT in Spain, in the Nokia base-station factory at Oulu and in the LUT laboratory of control engineering and digital systems.