Cloudification of 
Production Engineering
Predictive Digital

Exp. 10 - SHION - Smart Thermoplastic Injection

Experiment description

The proposed approach into use cognitive technologies (specially Deep Learning algorithms) to be able to extract the knowledge to generate a predictive model to detect when a defect in the production is going to happen by considering mainly information of the Thermoplastic Injection process itself, with the intrinsic parameters of the injection machine for each piece, as well as context information like environmental conditions, operators review, quality laboratory inspections and piece weight. Constant evolution of the cognitive models generated is also supported.