General purpose data-driven system monitoring for space operations

AIAA Infotech at Aerospace Conference and Exhibit and AIAA Unmanned...Unlimited Conference

Volumn , Issue , 2009, Pages

  Iverson, David L ^a,c   Martin, Rodney ^a,c   Schwabacher, Mark ^a,c   Spirkovska, Lilly ^a,c   Taylor, William ^a,c   Mackey, Ryan ^b   Castle, J Patrick ^a  

^a NASA AMES RESEARCH CENTER   (United States)

^b CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^c Intelligent Systems Division   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYZING SYSTEM; COMPONENT INTERACTION; DATA MINING TECHNIQUES; DATA-DRIVEN; EXPLORATION SYSTEMS; FLIGHT CONTROL; GENERAL PURPOSE; INTEGRATED SYSTEMS HEALTH MANAGEMENT; INTERNATIONAL SPACE STATIONS; KNOWLEDGE BASE; LAUNCH VEHICLE; MONITORING SYSTEM; MONITORING TECHNIQUES; NOMINAL OPERATIONS; SATELLITE VEHICLES; SOFTWARE TOOL; SPACE OPERATIONS; SPACE PROPULSIONS; SUPPORTABILITY; SYSTEM BEHAVIORS;

AEROSPACE APPLICATIONS; DATA MINING; FAULT DETECTION; FLEET OPERATIONS; GROUND OPERATIONS; HEALTH; KNOWLEDGE BASED SYSTEMS; LAUNCH VEHICLES; LAUNCHING; MANNED SPACE FLIGHT; REAL TIME SYSTEMS; SPACE STATIONS;

MONITORING;

EID: 77958478354     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Iverson, D. L., "Data Mining Applications for Space Mission Operations System Health Monitoring", Proceedings of the SpaceOps 2008 Conference, ESA, EUMETSAT, AIAA, Heidelberg, Germany, May 2008.
2. Iverson, D. L., "Inductive System Health Monitoring," Proceedings of The 2004 International Conference on Artificial Intelligence (IC-AI04), CSREA, Las Vegas, Nevada, June 2004.
3. International Space Station Thermal Control System Training Manual, NASA Document ISS TCS TM 21109, January 2004.
4. Schwabacher, M., Oza, N., and Matthews, B., "Unsupervised Anomaly Detection for Liquid-Fueled Rocket Propulsion Health Monitoring," Proceedings of the AIAA Infotech@Aerospace Conference, AIAA, Reston, VA, 2007.
5. Martin, R. A., Schwabacher, M., Oza, N., and Srivastava, A., "Comparison of Unsupervised Anomaly Detection Methods for Systems Health Management Using Space Shuttle Main Engine Data," Proceedings of the JANNAF Propulsion Meeting, JANNAF, Denver, CO, 2007.
6. M. Schwabacher and R. Waterman. Pre-Launch Diagnostics for Launch Vehicles. Proceedings of the IEEE Aerospace Conference, 2008.
7. M. Schwabacher, R. Aguilar, and F. Figueroa. Using Decision Trees to Detect and Isolate Simulated Leaks in the J-2X Rocket Engine. Proceedings of the IEEE Aerospace Conference, 2009. To appear. http://ti.arc.nasa.gov/m/profile/ schwabac/Schwabacher-IEEE-Aero-2009%20revised.pdf.