Proposal of a Machine Learning Predictive Maintenance Solution Architecture
Aurelia Pătrașcu,
Cristian Bucur,
Ana Tănăsescu
et al.
Abstract:This article proposes an architecture model for a predictive maintenance solution that can be used to detect degradation of equipment in industrial units. This platform is compliant with Industry 4.0 standards and employs machine-learning algorithms alongside with data analytics methodologies to model the kinetics of equipment degradation. This serves the overarching aim of Industry 4.0 by enabling real-time, data-driven decision-making and complex asset management. To model the deterioration of the equipment,… Show more
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