8 papers
The Array Control and Data Acquisition software of the Cherenkov Telescope Array Observatory
I. Oya, B. López, P. Aubert +61
The Cherenkov Telescope Array Observatory (CTAO) aims to advance knowledge of the gamma-ray sky as the largest gamma-ray observatory ever built. The CTAO will be deployed at two si…
Semantic Feature Segmentation for Interpretable Predictive Maintenance in Complex Systems
Emilio Mastriani, Alessandro Costa, Federico Incardona +2
Predictive maintenance in complex systems is often complicated by the heterogeneity and redundancy of monitored variables,which can obscure fault-relevant information and reduce mo…
Multivariate time-series forecasting of ASTRI-Horn monitoring data: A Normal Behavior Model
Federico Incardona, Alessandro Costa, Farida Farsian +8
This study presents a Normal Behavior Model (NBM) developed to forecast monitoring time-series data from the ASTRI-Horn Cherenkov telescope under normal operating conditions. The a…
SERVIMON: AI-Driven Predictive Maintenance and Real-Time Monitoring for Astronomical Observatories
Emilio Mastriani, Alessandro Costa, Federico Incardona +2
Objective: ServiMon is designed to offer a scalable and intelligent pipeline for data collection and auditing to monitor distributed astronomical systems such as the ASTRI Mini-Arr…
Segmentation over Complexity: Evaluating Ensemble and Hybrid Approaches for Anomaly Detection in Industrial Time Series
Emilio Mastriani, Alessandro Costa, Federico Incardona +2
In this study, we investigate the effectiveness of advanced feature engineering and hybrid model architectures for anomaly detection in a multivariate industrial time series, focus…
Improving Anomaly Detection in Industrial Time Series: The Role of Segmentation and Heterogeneous Ensemble
Emilio Mastriani, Alessandro Costa, Federico Incardona +2
Concerning machine learning, segmentation models can identify state changes within time series, facilitating the detection of transitions between normal and anomalous conditions. S…