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Project information

Prediction of the behavior of critical components in reactors of electric power generation plants

J. Portela

January 2021 - July 2022

Funding entity Innomerics S.L


The objective of the project is the application of Machine Learning techniques and visualization for the analysis of the state of health of critical components of the reactors of electric power generation plants. The models have been applied to records of historical inspections that have been carried out throughout the useful life of the components in order to identify the factors that affect degradation over time.


This collaboration is part of the projectSMARTinspect: Sistema autónomo e inteligente para mantenimiento predictivo", which has received a grant from the Ministry of Economic Affairs and Digital Transformation of the Government of Spain.


INNOMERICS_2022