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Intelligent Data Visualization for Cross-Checking Spacecraft System Diagnosis
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Author and Affiliation:
Ong, James C.(Stottler Henke Associates, Inc., San Mateo, CA, United States);
McCann, Robert S.(NASA Ames Research Center, Moffett Field, CA, United States);
Remolina, Emilio(Stottler Henke Associates, Inc., San Mateo, CA, United States);
Breeden, David(Stottler Henke Associates, Inc., San Mateo, CA, United States);
Stroozas, Brett A.(Stroozas FlightOps, Walnut Creek, CA, United States);
Mohammed, John L.(Mohammed (John) Consulting, Sacramento, CA, United States)
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.
Publication Date: Jun 19, 2012
Document ID:
20120014263
(Acquired Oct 02, 2012)
Subject Category: ELECTRONICS AND ELECTRICAL ENGINEERING
Report/Patent Number: ARC-E-DAA-TN5193
Document Type: Conference Paper
Meeting Information: AIAA Infotech@Aerospace 2012; 19 Jun. 2012; Garden Grove, CA; United States
Meeting Sponsor: American Inst. of Aeronautics and Astronautics; United States
Contract/Grant/Task Num: NNX09CA07C
Financial Sponsor: NASA Ames Research Center; Moffett Field, CA, United States
Organization Source: NASA Ames Research Center; Moffett Field, CA, United States
Description: 12p; In English; Original contains color illustrations
Distribution Limits: Unclassified; Publicly available; Unlimited
Rights: Copyright; Distribution as joint owner in the copyright
NASA Terms: SCIENTIFIC VISUALIZATION; FAULT DETECTION; SYSTEM FAILURES; AUTONOMY; ELECTRICAL ENGINEERING; ASTRIONICS; COMPUTER PROGRAMS; HEURISTIC METHODS; CIRCUIT BREAKERS; PROTOTYPES; SPACECREWS; HUMAN-COMPUTER INTERFACE
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