Model-based fault detection and diagnosis in ALMA subsystems

José Ortiz, Rodrigo A. Carrasco

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations


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.

Original languageEnglish
Title of host publicationObservatory Operations
Subtitle of host publicationStrategies, Processes, and Systems VI
EditorsAlison B. Peck, Robert L. Seaman, Chris R. Benn
ISBN (Electronic)9781510601994
StatePublished - 2016
EventObservatory Operations: Strategies, Processes, and Systems VI - Edinburgh, United Kingdom
Duration: 27 Jun 20161 Jul 2016

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


ConferenceObservatory Operations: Strategies, Processes, and Systems VI
Country/TerritoryUnited Kingdom


  • automation
  • fault detection
  • fault diagnosis
  • model-based
  • predictive maintenance


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