Techtank - Advanced Engineering Alliance

ESI Group will present the creation of an Augmented Virtual Prototype to predict in a wide range of press and process conditions in order to obtain :

• high quality parts with no rejections, the creation of reduced models of the 3D parametric PAM STAMP solution
• the development of a control signal fault models to improve the reliability and understand the system sensitivity to process fault combinations
• the identification of critical measurement parameters, to define sensors strategy and refined controls.

The faulted system simulation data will be used to train the appropriate ML algorithms used for anomaly detection and pattern recognition of physical sensor data.

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