| KEYWORD |
Design of an embedded system for the real time monitoring of the healthy status of power electronic devices based on machine learning tools
keywords MATLAB, MODELING AND SIMULATION, SPICE SIMULATION, SWITCHING POWER CONVRTERS, SYSTEM IDENTIFICATION
Reference persons PAOLO MANFREDI, IGOR SIMONE STIEVANO, RICCARDO TRINCHERO
Research Groups EMC Group (Electromagnetic Compatibility)
Thesis type RESEARCH
Description The proposed research activity addresses the development (in Matlab) of a tool for the prediction of the heathy status of an electrical or electronic power system such as a switching power converter or an inverter. The mentioned prediction is done by means of the estimation of system parameters (i.e., the values of system components) from external observations. System identification tools, machine learning techniques and optimization methods will be used.
Required skills Matlab, SPICE, circuit theory and analog electronics
Deadline 14/02/2024
PROPONI LA TUA CANDIDATURA