Paper
27 June 2006 Autonomous quality assurance and troubleshooting
Ronald F. DuPlain, Nicole M. Radziwill, Amy L. Shelton
Author Affiliations +
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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ronald F. DuPlain, Nicole M. Radziwill, and Amy L. Shelton "Autonomous quality assurance and troubleshooting", Proc. SPIE 6274, Advanced Software and Control for Astronomy, 62740O (27 June 2006); https://doi.org/10.1117/12.670470
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KEYWORDS
Telescopes

Diagnostics

Prototyping

Control systems

Computing systems

Quality systems

Data processing

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