Martino Colciago

Anomaly detection in SKA monitor and control data using deep learning models

In the complex and distributed environment of the SKA Observatory, predictive maintenance will play a crucial role in the upcoming production phase, with the aim of forecasting failures and malfunctions by analyzing data in order to identify early warning signs. Anomaly detection acts as the core engine for this proces...