Advanced Health Diagnostics Using Data-Driven Methods on Hydraulic Servoactuators.
Thesis in external company Thesis abroad
Reference persons MASSIMO SORLI
External reference persons Prof. Giovanni Jacazio - Politecnico di Torino
Ing. Francesco Marino - Lufthansa Technik AG - Hamburg, Germany
Ing. Andrea Raviola - PHD Polito
Ing. Rocco Gentile - PHD Polito
Research Groups 14-Meccatronica e servosistemi
Thesis type EXPERIMENTAL, IN COMPANY, MODELING AND DATA ANALYSIS, SIMULATION
Description 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.
Deadline 25/10/2020 PROPONI LA TUA CANDIDATURA