RESEARCH GROUPS

Area Architecture

Area Engineering

DEPARTMENTS

Dynamic data driven methods for real-time health monitoring, diagnostics and prognostics: applications to aerospace systems and structures

keywords AEROSPACE VEHICLES, DATA TO DECISION, DYNAMIC DATA DRIVEN METHODS, INFORMATION FUSION

Reference persons LAURA MAININI

Thesis type NUMERICAL SIMULATION

Description Students will be developing models and methods to support health monitoring, diagnostics and prognostics for aerospace systems and vehicles. The research activities can be tailored on student’s interests upon discussion with the supervisors/PIs.

Required skills Passion, curiosity, responsibility and proactivity are key assets. Familiarity with and/or interest in numerical methods, data assimilation, machine learning are welcome

Deadline 31/12/2018      PROPONI LA TUA CANDIDATURA