NAME PrediCare: Industri Aktiboen Mantentze Prediktiborako Metodologien Balidazioa
Aktibo honek metodologia propio baten egokitzapena estaltzen du, domeinuaren ezagutzak gidatutako manufaktura-datuetan oinarritutako mantentze prediktiboko ereduak diseinatu, garatu eta ezartzeko.
FIELDS OF APPLICATION
Data
Deployment and Application
Developments
MOST OUTSTANDING EQUIPMENT AND COMPONENTS
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Server for Data Analysis
Servers with sufficient computing power are available to replicate the methodologies established in the Mondragon University team in different environments. The Mondragon University team does not include equipment for collecting data in situ, while it is assumed that there are historical process/product data collected in advance. With labeled failures, to perform supervised learning; without known failures, to perform semi-supervised (anomaly) learning.
SERVICES OFFERED BY THE ASSET
Analysis of specifications, requirements, and feasibility
Rapid testing of data preparation, model building, and potential deployments in cloud and edge/embedded. [Sectors: Industry, Energy, Health, Agri-food]
Demonstrator
Demonstrators for detecting anomalies in critical components, estimating useful life, and analyzing root causes of failures.
Training
Training in the various phases of the predictive maintenance process and the technologies that support it.
ENTITY MANAGING THE ASSET
Contact person:
Urko Zurutuza Ortega
uzurutuza@mondragon.edu