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Key Facts
The main objective of OTEAres experiment is to deploy a predictive tool which enables to detect maintenance incidents before they happen, based on historical real time data monitored by means of the platform of remote management of facilities OTEA. The implemented tool will apply 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 is expected given that it will be offered a more complete service to the clients whereas the maintenance cost will be reduced.

End User: EcoMT

Application Expert: ITMATI

HPC and Big Data Expert: CESGA

HPC Centre: Gompute