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Artificial Intelligence Application to Advanced ECLS Systems
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English
Abstract
Space Station preliminary design studies examined the role of advanced automation and artificial intelligence to facilitate ECLSS control and diagnostics. Advanced automation techniques using independent embedded controllers were selected for the initial station, especially for centralized processes such as water recovery, air revitalization, and waste management. This paper examines the role that advanced computer capabilities can play to enhance advanced missions such as growth station, Moon and Mars exploration. The benefits of artificial intelligence are presented from both the expert system and learned system perspective.
Authors
Citation
Bishop, B. and Boehm, A., "Artificial Intelligence Application to Advanced ECLS Systems," SAE Technical Paper 891503, 1989, https://doi.org/10.4271/891503.Also In
References
- SAE Technical Paper Series - # 881013 “Technology for Human Self-sufficiency in Space” Anderson John L. July 11 1988
- Fourth Artificial Intelligence Symposium 10 Nov 88 Sponsored by TexasInstruments
- ”Sequence Intolerance in Expert Applications” AI Expert Apr. 89 4 4 Rovira Charles A. 56 59
- ”ARGES: An Expert System for Fault Diagnosis within Space Based ECLS Systems” Pachura David W. et.al. Marietta Martin Denver Aerospace 1986
- “Beyond Earth's Boundaries” 1988 Annual Report to the Administrator, Office of Exploration, NASA