@inproceedings{518e96342adf457da45c7281c916302f,
title = "Model-based fault detection and diagnosis in ALMA subsystems",
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.",
keywords = "automation, fault detection, fault diagnosis, model-based, predictive maintenance",
author = "Jos{\'e} Ortiz and Carrasco, {Rodrigo A.}",
note = "Publisher Copyright: {\textcopyright} 2016 SPIE.; Observatory Operations: Strategies, Processes, and Systems VI ; Conference date: 27-06-2016 Through 01-07-2016",
year = "2016",
doi = "10.1117/12.2233204",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Peck, {Alison B.} and Seaman, {Robert L.} and Benn, {Chris R.}",
booktitle = "Observatory Operations",
}