Data mining applications for space mission operations system health monitoring

SpaceOps 2008 Conference

Volumn , Issue , 2008, Pages

  Iverson, David L ^a  

^a NASA AMES RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADVANCED MONITORING; DATA MINING APPLICATIONS; INTERNATIONAL SPACE STATIONS; MULTIPLE PARAMETERS; MULTIVARIATE DATA SETS; NEAREST-NEIGHBOR APPROACHES; SPACE MISSION OPERATIONS; SYSTEM HEALTH MONITORING;

CONTROLLERS; DATA MINING; DECISION SUPPORT SYSTEMS; NASA; SPACE SHUTTLES; TOOLS;

SPACE FLIGHT;

EID: 84883611974     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Bay, S. D., and Schwabacher, M., "Mining Distance-Based Outliers in Near Linear Time with Randomization and a Simple Pruning Rule," Proceedings of The Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2003.
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. Columbia Accident Investigation Board Report, Volume 1, NASA, August 2003.
4. International Space Station Thermal Control System Training Manual, NASA Document ISS TCS TM 21109, January 2004.
5. 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.
6. 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.