Airbus (sas)

Airbus Operations Sl

Arnaud Zanni

Christophe Louat

Juan Carlos Southwood Carrasco

A method for optimizing the execution of automated drilling systems controlled by a numerical control, NC, machine, wherein the NC machine performs the following steps: (i) identifying each drill executed by an automated drilling tool at first drilling event (t); storing a theoretical position of each executed drill at the event (t); (iii) calculating a learned position using a machine learning model and based on the stored theoretical position at the event (t); (iv) estimating an intermediate position by applying a tendency statistical function, and (v), if the difference between the intermediate position and the learned position is less than a pre-configured threshold, using the intermediate position for the drilling tool to position a next drill and execute it at a subsequent event (t+1).

Growing community of inventors

Toulouse, France

Arnaud Zanni