Autonomous quality assurance and troubleshooting - art. no. 62740O

被引：0
|
作者：
DuPlain, Ronald F. [1 ]
Radziwill, Nicole M. [1 ]
Shelton, Amy L. [1 ]
机构：
[1] Natl Radio Astron Observ, Green Bank, WV 24944 USA
来源：
Advanced Software and Control for Astronomy | 2006年 / 6274卷
关键词：
expert systems; data quality; troubleshooting; rules engine; autonomous (autonomic) computing;
D O I：
10.1117/12.670470
中图分类号：
P1 [天文学];
学科分类号：
0704 ;
摘要：
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.
引用
收藏
页码：O2740 / O2740
页数：12
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