December 14, 2023
December 14, 2023


Improvement of the remote expert system based on software Otea.


Energy and Environment

Development of a system that, through the platform of remote management of facilities OTEA, is able to predict maintenance incidents through the interpretation of the data monitored, and can apply rules that improve the efficiency of the system and extend the life of the equipment.

  • To multiply the value of the OTEA system by maximizing the efficiency of the facilities and minimizing the basic management resources.
  • To deploy a predictive tool which enables to detect maintenance incidents before they happen.
  • Neural Networks.
  • Random Forest.
  • Quantile regression.
  • Generalized additive models (GAM).

The implemented tool created applies mathematical and statistical algorithms in order to get a reliable predictive maintenance, improving the efficiency of the current system, extending the equipment life cycle and allowing a smarter management of resources.
In addition, an increment of the OTEA platform value has been obtained, and offers a more complete service to the clients whereas the maintenance cost are reduced.

Stichting European Service Network of Mathematics For Industry and Innovation.

5052 Goirle, Netherlands