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Accession Number
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N20120014263
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Title
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Intelligent Data Visualization for Cross-Checking Spacecraft System Diagnosis.
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Publication Date
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Jun 2012
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Media Count
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12p
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Personal Author
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B. A. Stroozas D. Breeden E. Remolina J. C. Ong J. L. Mohammed R. S. McCann
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Abstract
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Any reasoning system is fallible, so crew members and flight controllers must be able to cross-check automated diagnoses of spacecraft or habitat problems by considering alternate diagnoses and analyzing related evidence. Cross-checking improves diagnostic accuracy because people can apply information processing heuristics, pattern recognition techniques, and reasoning methods that the automated diagnostic system may not possess. Over time, cross-checking also enables crew members to become comfortable with how the diagnostic reasoning system performs, so the system can earn the crew s trust. We developed intelligent data visualization software that helps users cross-check automated diagnoses of system faults more effectively. The user interface displays scrollable arrays of timelines and time-series graphs, which are tightly integrated with an interactive, color-coded system schematic to show important spatial-temporal data patterns. Signal processing and rule-based diagnostic reasoning automatically identify alternate hypotheses and data patterns that support or rebut the original and alternate diagnoses. A color-coded matrix display summarizes the supporting or rebutting evidence for each diagnosis, and a drill-down capability enables crew members to quickly view graphs and timelines of the underlying data. This system demonstrates that modest amounts of diagnostic reasoning, combined with interactive, information-dense data visualizations, can accelerate system diagnosis and cross-checking.
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Keywords
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Astrionics
Autonomy
Circuit breakers
Computer programs
Electrical engineering
Fault detection
Heuristic methods
Human-computer interface
Prototypes
Scientific visualization
Spacecrews
System failures
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Source Agency
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National Aeronautics and Space Administration
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NTIS Subject Category
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49 - Electrotechnology
84C - Manned Spacecraft
84G - Unmanned Spacecraft
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Corporate Author
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National Aeronautics and Space Administration, Moffett Field, CA. Ames Research Center.
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Document Type
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Conference proceedings
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Title Note
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N/A
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NTIS Issue Number
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1307
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Contract Number
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NNX09CA07C
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