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Proceedings Paper

Autonomous quality assurance and troubleshooting
Author(s): Ronald F. DuPlain; Nicole M. Radziwill; Amy L. Shelton
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Paper Abstract

To improve operational availability (the proportion of time that a telescope is able to accomplish what a visiting observer wants at the time the observation is scheduled), response time to faults must be minimized. One way this can be accomplished is by characterizing the relationships and interdependencies between components in a control system, developing algorithms to identify the root cause of a problem, and capturing expert knowledge of a system to simplify the process of troubleshooting. Results from a prototype development are explained, along with deployment issues. Implications for the future, such as effective knowledge representation and management, and learning processes which integrate autonomous and interactive components, are discussed.

Paper Details

Date Published: 27 June 2006
PDF: 12 pages
Proc. SPIE 6274, Advanced Software and Control for Astronomy, 62740O (27 June 2006); doi: 10.1117/12.670470
Show Author Affiliations
Ronald F. DuPlain, National Radio Astronomy Observatory (United States)
Univ. of Cincinnati (United States)
Nicole M. Radziwill, National Radio Astronomy Observatory (United States)
Amy L. Shelton, National Radio Astronomy Observatory (United States)


Published in SPIE Proceedings Vol. 6274:
Advanced Software and Control for Astronomy
Hilton Lewis; Alan Bridger, Editor(s)

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