AI based predictive methods in predictive maintenance of smart building


Main funder

Funder's project numberYM331/612/2017


Funds granted by main funder (€)

  • 66 400,00


Funding program


Project timetable

Project start date14/02/2018

Project end date31/01/2019


Summary

Modern smart buildings produce a lot of Big Data through many different sensors. Great cost savings can be achieved if this data is utilised in predictive maintenance. The goal of this project is to assess how AI based predictive methods can be used in predictive maintenance. The potential of predictive methods will also be assessed practically with datasets from partners.


Principal Investigator


Other persons related to this project (JYU)


Primary responsible unit


Last updated on 2025-21-02 at 13:58