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EDNA: Expert fault digraph analysis using CLIPSTraditionally fault models are represented by trees. Recently, digraph models have been proposed (Sack). Digraph models closely imitate the real system dependencies and hence are easy to develop, validate and maintain. However, they can also contain directed cycles and analysis algorithms are hard to find. Available algorithms tend to be complicated and slow. On the other hand, the tree analysis (VGRH, Tayl) is well understood and rooted in vast research effort and analytical techniques. The tree analysis algorithms are sophisticated and orders of magnitude faster. Transformation of a digraph (cyclic) into trees (CLP, LP) is a viable approach to blend the advantages of the representations. Neither the digraphs nor the trees provide the ability to handle heuristic knowledge. An expert system, to capture the engineering knowledge, is essential. We propose an approach here, namely, expert network analysis. We combine the digraph representation and tree algorithms. The models are augmented by probabilistic and heuristic knowledge. CLIPS, an expert system shell from NASA-JSC will be used to develop a tool. The technique provides the ability to handle probabilities and heuristic knowledge. Mixed analysis, some nodes with probabilities, is possible. The tool provides graphics interface for input, query, and update. With the combined approach it is expected to be a valuable tool in the design process as well in the capture of final design knowledge.
Document ID
19960001805
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Dixit, Vishweshwar V.
(Rockwell International Corp. Downey, CA, United States)
Date Acquired
September 6, 2013
Publication Date
January 1, 1990
Publication Information
Publication: NASA. Johnson Space Center, First CLIPS Conference Proceedings, Volume 1
Subject Category
Computer Programming And Software
Accession Number
96N11813
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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