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Accession Number N20120014263
Title Intelligent Data Visualization for Cross-Checking Spacecraft System Diagnosis.
Publication Date Jun 2012
Media Count 12p
Personal Author B. A. Stroozas D. Breeden E. Remolina J. C. Ong J. L. Mohammed R. S. McCann
Abstract 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.
Keywords Astrionics
Autonomy
Circuit breakers
Computer programs
Electrical engineering
Fault detection
Heuristic methods
Human-computer interface
Prototypes
Scientific visualization
Spacecrews
System failures


 
Source Agency National Aeronautics and Space Administration
NTIS Subject Category 49 - Electrotechnology
84C - Manned Spacecraft
84G - Unmanned Spacecraft
Corporate Author National Aeronautics and Space Administration, Moffett Field, CA. Ames Research Center.
Document Type Conference proceedings
Title Note N/A
NTIS Issue Number 1307
Contract Number NNX09CA07C

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