11 July 2016 Model-based fault detection and diagnosis in ALMA subsystems
Author Affiliations +
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.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
PROCEEDINGS
11 PAGES


SHARE
RELATED CONTENT

The LSST OCS scheduler design
Proceedings of SPIE (August 07 2014)
LSST OCS status and plans
Proceedings of SPIE (August 08 2016)
Programmable workflow control with rule check on LAMOST
Proceedings of SPIE (July 19 2010)
VLT data flow system: the NTT prototype experience
Proceedings of SPIE (September 18 1997)
Archive systems for the TNG telescope lessons learned in...
Proceedings of SPIE (December 16 2002)
VLT science archive system
Proceedings of SPIE (July 03 1998)

Back to Top