Advanced Health Diagnostics Using Data-Driven Methods on Hydraulic Servoactuators.
Tesi esterna in azienda Tesi all'estero
Riferimenti MASSIMO SORLI
Riferimenti esterni Prof. Giovanni Jacazio - Politecnico di Torino
Ing. Francesco Marino - Lufthansa Technik AG - Hamburg, Germany
Ing. Andrea Raviola - PHD Polito
Ing. Rocco Gentile - PHD Polito
Gruppi di ricerca 14-Meccatronica e servosistemi
Tipo tesi SPERIMENTALE E DI MODELLAZIONE
Descrizione We are looking for a thesis student in the field of components engineering equipment.
Our department is the Innovation Management in Hamburg. We are developing new technologies and optimize process established in our company already. This thesis will support the development of an automated procedure to improve the diagnosis on hydraulic servo-actuators by using measurements data collected in our facilities.
Among your duties there will be:
• Improve features extraction procedures
• Perform experiments in our hydraulic-lab
• Support the team in developing new health features
• Support the team in deploy all the mentioned solutions in production
The thesis provides insights into general Lufthansa Technik processes, as well as the air-related and economical aspects of the maintenance procedures of aerospace equipment. By supporting and assisting with various engineering and production topics, it is a hands-on experience in a leading MRO company in the aerospace sector. The expected total duration is 9 months in the Lufthansa Technik facility in Hamburg.
Scadenza validita proposta 25/10/2020 PROPONI LA TUA CANDIDATURA