11 July 2016 Model-based fault detection and diagnosis in ALMA subsystems
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Abstract
The Atacama Large Millimeter/submillimeter Array (ALMA) observatory, with its 66 individual telescopes and other central equipment, generates a massive set of monitoring data every day, collecting information on the performance of a variety of critical and complex electrical, electronic and mechanical components. This data is crucial for most troubleshooting efforts performed by engineering teams. More than 5 years of accumulated data and expertise allow for a more systematic approach to fault detection and diagnosis. This paper presents model-based fault detection and diagnosis techniques to support corrective and predictive maintenance in a 24/7 minimum-downtime observatory.
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José Ortiz, José Ortiz, Rodrigo A. Carrasco, Rodrigo A. Carrasco, "Model-based fault detection and diagnosis in ALMA subsystems", Proc. SPIE 9910, Observatory Operations: Strategies, Processes, and Systems VI, 99102S (11 July 2016); doi: 10.1117/12.2233204; https://doi.org/10.1117/12.2233204
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