General Purpose Data-Driven Monitoring for Space Operations
- 1 October 2012
- journal article
- Published by American Institute of Aeronautics and Astronautics (AIAA) in Journal of Aerospace Information Systems
- Vol. 9 (2), 26-44
- https://doi.org/10.2514/1.54964
Abstract
No abstract availableThis publication has 8 references indexed in Scilit:
- Getting Diagnostic Reasoning off the Ground: Maturing Technology with TacSat-3IEEE Intelligent Systems, 2010
- Using decision trees to detect and isolate simulated leaks in the J-2X rocket enginePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2009
- Data Mining Applications for Space Mission Operations System Health MonitoringPublished by American Institute of Aeronautics and Astronautics (AIAA) ,2008
- Pre-Launch Diagnostics for Launch Vehicles2008 IEEE Aerospace Conference, 2008
- Unsupervised Anomaly Detection for Liquid-Fueled Rocket Propulsion Health MonitoringPublished by American Institute of Aeronautics and Astronautics (AIAA) ,2007
- Mining distance-based outliers in near linear time with randomization and a simple pruning rulePublished by Association for Computing Machinery (ACM) ,2003
- Analysis of Space Shuttle main engine data using beacon-based exception analysis for multi-missionsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Support vector domain descriptionPattern Recognition Letters, 1999