PPT-Anatomy of a Spacecraft Anomaly:

An IVampV Perspective Joel Abraham OnOrbit Anomaly Research NASA IVampV Facility Fairmont WV 4 th International Workshop on Independent Verification amp Validation of Software September 11 13 2012. Introduction and Use Cases. Derick . Winkworth. , Ed Henry and David Meyer. Agenda. Introduction and a Bit of History. So What Are Anomalies?. Anomaly Detection Schemes. Use Cases. Current Events. Q&A. Thermal balance and control.. Introduction [See F&S, Chapter 11]. We will look at how a spacecraft gets heated. How it might dissipate/generate heat. The reasons why you want a temperature stable environment within the spacecraft.. Problem motivation. Machine Learning. Anomaly detection example. Aircraft engine features:. . = heat generated. = vibration intensity. …. (vibration). (heat). Dataset:. New engine:. Density estimation. Craig Buchanan. University of Illinois at Urbana-Champaign. CS 598 MCC. 4/30/13. Outline. K-Nearest Neighbor. Neural Networks. Support Vector Machines. Lightweight Network Intrusion Detection (LNID). Anomaly-based . Network Intrusion . Detection (A-NIDS). by Nitish Bahadur, Gulsher Kooner, . Caitlin Kuhlman. 1. PALANTIR CYBER An End-to-End Cyber Intelligence Platform for Analysis & Knowledge Management [Online]. Available: . Detection. Carolina . Ruiz. Department of Computer Science. WPI. Slides based on . Chapter 10 of. “Introduction to Data Mining”. textbook . by Tan, Steinbach, Kumar. (all figures and some slides taken from this chapter. DETECTION. Scholar: . Andrew . Emmott. Focus: . Machine Learning. Advisors: . Tom . Dietterich. , Prasad . Tadepalli. Donors: . Leslie and Mark Workman. Acknowledgements:. Funding for my research is . On-Orbit Anomaly Research. NASA IV&V Facility. Fairmont, WV, USA. 2013 Annual Workshop on Independent Verification & Validation of Software. Fairmont, WV, USA. September 10-12, 2013. Agenda. September 10, 2013. Rendevous. using CNN. Ryan McKennon-Kelly. Sharma, . Sumant. , Connor . Beierle. , and Simone D’Amico. “Pose Estimation for Non-Cooperative Spacecraft Rendezvous Using Convolutional Neural Networks,” September 19, 2018. . Winter 2014. Try Lam. CalPoly. Pomona Aerospace Engineering. Lecture 03: . Numerical Integrations. Chapter TBD. Introductions. In this lecture we will look at how dynamical system problems are solved numerically. Shilin . He. ,. . Jieming. Zhu, . Pinjia. . He,. and Michael R. . Lyu. Department of Computer Science and Engineering, . The Chinese University of Hong Kong, Hong Kong. 2016/10/26. Background & Motivation. 14. . World-Leading Research with Real-World Impact!. CS 5323. Outline. Anomaly detection. Facts and figures. Application. Challenges. Classification. Anomaly in Wireless.  . 2. Recent News. Hacking of Government Computers Exposed 21.5 Million People. Failures. Alejandro Rivera. Deployables Analysis Engineer. NASA Goddard Space Flight Center. 19th European Space Mechanisms and Tribology Symposium. September 24. th. , 2021. DISCLAIMER. The views and opinions expressed in this presentation are those of the author and do not necessarily reflect the official policy, procedures or position of NASA Goddard Space Flight Center or the National Aeronautics and Space Administration.. Before, you learned. • The motions of planets and other nearby objects are visible from Earth . • Light and other forms of radiation carry information about the universe. Now, you will learn. • How astronauts explore space near Earth .