PrediCare: Validation of Methodologies for Predictive Maintenance of Industrial Assets
DESCRIPTION
This asset covers the adaptation of a proprietary methodology for the design, development and implementation of data-driven predictive maintenance models in manufacturing guided by domain knowledge
MOST OUTSTANDING EQUIPMENT AND COMPONENTS
Server for Data AnalysisServers 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
Demonstrator
Training
ENTITY MANAGING THE ASSET
Mondragón Goi Eskola Politeknikoa JMA SCoop
Contact person: Urko Zurutuza Ortega
