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Obtaining Perfect Critical Automotive Safety Components through Behavioral Monitoring and Simulation using Digital Twins

With the aim of obtaining the perfect component and manufacturing process without defects or claims, an ecosystem of applications is created. Each of them creates a virtual representation of the behavior that occurs in its control area. In this way, a group of Predictive Control Models allows anticipating possible manufacturing problems. All this, simulated thanks to current digital technologies and with a clear objective in mind, to obtain the perfect component without defects or claims, trying to eliminate operations that do not provide added value. The different software developments are responsible for the extraction, digitization of the current situation; going on to be analyzed by advanced software that, if necessary, will end up providing a plausible solution that avoids the problem detected.


Javier Nieves, Argoitz Zabala, Beñat Bravo


Digital Twin, Manufacturing process control, Artificial Intelligence, Real time monitoring.


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