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An expert system for monitoring dynamic aspects of RCSAn expert system (ARC) based on the MIMIC(2) framework is being developed for assistance in monitoring the Space Shuttle reaction control system (RCS) and in training RCS mission controllers. ARC has four components: a hypothesis generator, a model-constructor, a model-simulator and a matcher. The hypothesis generator examines current readings of sensors to generate a set of hypotheses. The model constructor generates models from these hypotheses. The simulator predicts future behaviors of the system. The matcher validates hypotheses by testing the predicted states against real data. The hypothesis generator postulates faults using model-based reasoning (MBR), learned rules from real data, and expert-defined rules. The simulator uses a qualitative QSIM model of the RCS which can handle both nominal modes as well as a variety of fault models. This allows the simulator to simulate the system even when one or more components have degraded. Finally, the matcher is responsible for comparing readings against predictions and calculating confidence in a particular hypothesis.
Document ID
19920056057
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Kulkarni, Deepak
(NASA Ames Research Center Moffett Field, CA, United States)
Robinson, Peter
(NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
August 15, 2013
Publication Date
March 1, 1992
Subject Category
Systems Analysis
Report/Patent Number
AIAA PAPER 92-1595
Accession Number
92A38681
Distribution Limits
Public
Copyright
Other

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