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Use of Machine Learning in not novel certification activities for aerospace industry

keywords AEROSPACE, MACHINE LEARNING

Reference persons MANUELA BATTIPEDE

Research Groups 15-Modellazione, simulazione e controllo di velivoli

Thesis type THESIS WITH COMPANY STAGE

Description It is estimated that roughly 80% of the Aerospace Industry certification departments is spent in not novel certification activities. In an industrial sector challenging the highest safety levels and some of the most complex market challenges use of machine learning is foreseen paramount so that resources can be focused, instead, on novel elements. This project is intended to identify all the framework and the basic tools to be used to set up the machine learning aids for the certification team. Nevertheless, to run a pilot project to measure the benefits of such approach.

Notes Proposal of Mecaer Aviation Group (Monteprandone - Ascoli Piceno)

Deadline 16/10/2024      PROPONI LA TUA CANDIDATURA