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Development of the Spacecraft Materials Selector expert system
Author(s) -
H. Gary Pippin
Publication year - 2000
Publication title -
38th aerospace sciences meeting and exhibit
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.2000-243
Subject(s) - spacecraft , aerospace engineering , computer science , expert system , astrobiology , remote sensing , systems engineering , engineering , geology , artificial intelligence , physics
A specific knowledge base to evaluate the on-orbit performance of selected materials on spacecraft is being developed under contract to the NASA SEE program. An artificial intelligence software package, the Boeing Expert System Tool (BEST), contains an inference engine used to operate knowledge bases constructed to selectively recall and distribute information about materials performance in space applications. This same system is used to make estimates of the environmental exposures expected for a given space flight. The performance capabilities of the Spacecraft Materials Selector (SMS) knowledge base are described in this paper. A case history for a planned flight experiment on ISS is shown as an example of the use of the SMS, and capabilities and limitations of the knowledge base are discussed.

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