Paper
25 July 2024 Tracing component wear signatures in ASTRI-Horn historical monitoring time-series
Federico Incardona, Alessandro Costa, Giuseppe Leto, Kevin Munari, Giovanni Pareschi, Salvatore Scuderi, Gino Tosti, Emilio Mastriani, Sebastiano Spinello
Author Affiliations +
Abstract
This research analyzes historical data from the ASTRI-Horn, a Cherenkov telescope at the Astrophysical Observatory of Catania (Serra La Nave, Mt. Etna). Data from a multitude of sensors, distributed across the telescope, were studied. These sensors record various parameters, including currents, voltages, phases, positions, and temperatures, from different telescope components such as motors and encoders, as well as environmental conditions like temperature and humidity. Seven years of operational data have been analyzed to identify precursors indicative of component degradation. The aim was to discern unique data patterns or "signatures" corresponding with periods of component damage or replacement. These identified signatures will be instrumental in the development of a Predictive Maintenance (PdM) model, which will aim to foresee the standard operational patterns, issuing alerts for any detected anomalies or deviations, thereby facilitating early anomaly detection and resolution. PdM is an advanced maintenance strategy that uses data to help predict when parts might fail aiming to reduce unexpected costs, improving the overall efficiency and reliability of the telescope.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Federico Incardona, Alessandro Costa, Giuseppe Leto, Kevin Munari, Giovanni Pareschi, Salvatore Scuderi, Gino Tosti, Emilio Mastriani, and Sebastiano Spinello "Tracing component wear signatures in ASTRI-Horn historical monitoring time-series", Proc. SPIE 13101, Software and Cyberinfrastructure for Astronomy VIII, 1310122 (25 July 2024); https://doi.org/10.1117/12.3014702
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KEYWORDS
Telescopes

Atmospheric Cherenkov telescopes

Environmental monitoring

Matrices

Internet of things

Principal component analysis

Temperature metrology

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