A new rule-based, expert system for diagnosing spacecraft anomalies is under development. The knowledge base consists of over two-hundred (200) rules and provides links to historical and environmental databases. Environmental causes considered are bulk charging, single event upsets (SEU), surface charging, and total radiation dose. The system's driver translates forward chaining rules into a backward chaining sequence, prompting the user for information pertinent to the causes considered. When the user selects the novice mode, the system automatically gives detailed explanations and descriptions of terms and reasoning as the session progresses, in a sense teaching the user. As such it is an effective tutoring tool. The use of heuristics frees the user from searching through large amounts of irrelevant information and allows the user to input partial information (varying degrees of confidence in an answer) or 'unknown' to any question. The system is available on-line and uses C Language Integrated Production System (CLIPS), an expert shell developed by the NASA Johnson Space Center AI Laboratory in Houston.
Intelligent Computer-Aided Tutoring System for Diagnosing Anomalies of Spacecraft in Operation
1993
1 pages
Report
Keine Angabe
Englisch
Computer Software , Space Technology , Anomalies , Artificial intelligence , Computer assisted instruction , Expert systems , In-flight monitoring , Knowledge bases (Artificial intelligence) , Spacecraft maintenance , C (Programming language) , Heuristic methods , On-line systems , Single event upsets
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