Elisabetta Giani

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...

Improving observability and reliability in SKA control software through TANGO-controls OpenTelemetry and CSP.LMC test analytics

In a large-scale scientific project such as the Square Kilometre Array (SKA), reliability is critical. The ability to detect rare, hidden, and difficult-to-reproduce anomalies is essential and must be done as early as possible during development, well before integration and testing, commissioning, or production. In thi...

Automated verification of the ARIEL instrument control unit boot software using TCL-based test sequences

ICU to TCU interface emulator for the ARIEL Telescope Assembly thermal-vacuum test: software and graphical user interface