| KEYWORD |
Machine learning for predictive maintenance
keywords CELLULAR NETWORKS, SMART GRIDS
Reference persons MICHELA MEO, DANIELA RENGA
Research Groups ICT4SS - ICT FOR SMART SOCIETIES, Telecommunication Networks Group
Description The topic of the thesis is predictive maintenance of mobile communications sites (TLC towers for cellular systems) through machine learning approaches. The topic is very timely and challenging.
The thesis consists in the analysis of large sets of data about faults, failures and critical events of several sites.
After characterizing events, elements and their behavior, some techniques for identifying and predicting critical events will be studied and proposed.
Required skills The thesis requires skills of data analysis and statistics, an average score of 27.
Deadline 17/02/2023
PROPONI LA TUA CANDIDATURA