Model-based fault detection and diagnosis in ALMA subsystems

José Ortiz, Rodrigo A. Carrasco

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

7 Scopus citations

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.

Original languageEnglish
Title of host publicationObservatory Operations
Subtitle of host publicationStrategies, Processes, and Systems VI
EditorsAlison B. Peck, Robert L. Seaman, Chris R. Benn
PublisherSPIE
ISBN (Electronic)9781510601994
DOIs
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
Volume9910
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceObservatory Operations: Strategies, Processes, and Systems VI
Country/TerritoryUnited Kingdom
CityEdinburgh
Period27/06/161/07/16

Keywords

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

Fingerprint

Dive into the research topics of 'Model-based fault detection and diagnosis in ALMA subsystems'. Together they form a unique fingerprint.

Cite this