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Modeling Space Operations Systems Using SysML as to Enable Anomaly Detection

Journal Article
2015-01-2388
ISSN: 1946-3855, e-ISSN: 1946-3901
DOI: https://doi.org/10.4271/2015-01-2388
Published September 15, 2015 by SAE International in United States
Modeling Space Operations Systems Using SysML as to Enable Anomaly Detection
Sector:
Citation: Rabelo, L. and Clark, T., "Modeling Space Operations Systems Using SysML as to Enable Anomaly Detection," SAE Int. J. Aerosp. 8(2):189-194, 2015, https://doi.org/10.4271/2015-01-2388.
Language: English

References

  1. Angeli , C. Diagnostic Expert Systems: From Expert's Knowledge to Real-Time Systems Advanced Knowledge Based Systems (Model, Applications & Search) 1 50 73 2010
  2. Holt , J. , and Perry , S. SysML for Systems Engineering: A Model-Based Approach 2 London The Institution of Engineering and Technology 2013
  3. Martin , R. , Schwabacher , M. , and Matthews , B. Data-Driven Anomaly Detection Performance for the Ares I-X Ground Diagnostic Prototype 2010
  4. Matthews , B. , Srivastava , A. , Iverson , D. , Beil , B. , and Lane , B. Space shuttle main propulsion system anomaly detection: A case study Aerospace and Electronic Systems Magazine, IEEE 26 9 4 13 2011
  5. OMGSysML-v1.3-12-06-02.pdf http://sysml.org/docs/specs/OMGSysML-v1.3-12-06-02.pdf
  6. SpaceX SpaceX Breaks Ground on Vandenberg Launch Site for Falcon Heavy - The World's Most Powerful Rocket https://login.ezproxy.net.ucf.edu/login?auth=shibb&url=http://search.ebscohost.com/login 2011

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