| タイトル | Reducing the cognitive workload: Trouble managing power systems |
| 本文（外部サイト） | http://hdl.handle.net/2060/19940017091 |
| 著者（英） | Manner, David B.; Liberman, Eugene M.; Dolce, James L.; Mellor, Pamela A. |
| 著者所属（英） | NASA Lewis Research Center |
| 発行日 | 1993-12-01 |
| 言語 | eng |
| 内容記述 | The complexity of space-based systems makes monitoring them and diagnosing their faults taxing for human beings. Mission control operators are well-trained experts but they can not afford to have their attention diverted by extraneous information. During normal operating conditions monitoring the status of the components of a complex system alone is a big task. When a problem arises, immediate attention and quick resolution is mandatory. To aid humans in these endeavors we have developed an automated advisory system. Our advisory expert system, Trouble, incorporates the knowledge of the power system designers for Space Station Freedom. Trouble is designed to be a ground-based advisor for the mission controllers in the Control Center Complex at Johnson Space Center (JSC). It has been developed at NASA Lewis Research Center (LeRC) and tested in conjunction with prototype flight hardware contained in the Power Management and Distribution testbed and the Engineering Support Center, ESC, at LeRC. Our work will culminate with the adoption of these techniques by the mission controllers at JSC. This paper elucidates how we have captured power system failure knowledge, how we have built and tested our expert system, and what we believe are its potential uses. |
| NASA分類 | ENGINEERING (GENERAL) |
| レポートNO | 94N21564
NASA-TM-106413
E-8249
NAS 1.15:106413
AIAA PAPER 93-4703-CP |
| 権利 | No Copyright |
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