Abstract
Space-based astrometry missions can achieve an accuracy that has not been possible before (by ground-based observations). However, in order to guarantee this precision, it is of the utmost importance to check the scientific quality of the data constantly.We present a modelbased monitoring system, called Science Quick Look, that is able to carry out the preliminary scientific assessment. We have implemented a prototype of the system and show the results of an evaluation.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
European Space Agency. The Hipparcos and Tycho catalogues. SP-1200 (1997)
Awad, E.M.: Building Expert Systems: Principles, Procedures, and Applications. Addison-Wesley Publishing Company, INC., Reading (1996)
Chen, J., Patton, R.J.: Robust model-based fault diagnosis for dynamic systems. Kluwer academic publishers, Boston (1999)
Davis, R., Hamscher, W.: Exploring Artificial Intelligence. Morgan Kaufmann Publishers, San Francisco (1988)
de Kleer, J.: Physics, qualitative. Artificial Intelligence (1992)
Giarratano, J., Riley, G.: CLIPS Reference Manual. PWS Publishing Company, Boston (1998)
Giarratano, J., Riley, G.: CLIPS User’s Manual, Objects, vol. II. PWS Publishing Company, Boston (1998)
Hayes-Roth, F., Waterman, D.A., Lenat, D. (eds.): Building Expert Systems. West Publishing Company, St. Paul (1983)
Kharchenko, N., Rybka, S., Yatsenko, A., Schilbach, E.: Predicted star counts and mean parallaxes down to the 23rd magnidute. Astron. Nachr. 318(3), 163–171 (1997)
Kharchenko, N., Schilbach, E.: Program mega: Stellar counts and galactic models. Baltic Astronomy 5, 337–356 (1996)
Kitts, C.A.: A global spacecraft control network for spacecraft autonomy research. In: Proceeding of SpaceOps 1996: The Forth International Symposium on Space Mission Operations and Ground Data Systems in Munich, Germany (September 1996)
Kovalevsky, J.: Modern Astrometry. Springer, New York (1995)
Pavlov, A.: A Model-Based Monitoring System for Rapid Assessment of Payload and Spacecraft Health/Performance. PhD thesis, Universität Mannheim, Mannheim (2005)
Reiter, R.: A theory of dianosis from the first principles. Artificial Intelligence 32(1), 57–95 (1987)
Inc. 1994 Research Systems. Idl user’s guide, http://www.rsinc.com/idl/
Schank, R.C., Abelson, R.P.: Scripts, Plans, Goals and Understanding. Erlbaum, Hillsdale (1977)
Sheppard, J.W., Simpson, W.R.: Improving the accuracy of diagnostics provided by fault dictionaries. In: 14th IEEE VLSI Test Symposium (VTS 1996), pp. 180–186 (1996)
Smirnov, O.: Dasha-2:improving visualization and processing of photometric data with idl objects. Astronomical Data Analysis Software and Systems VIII 172, 437 (1999)
Ng, H.T.: Model-based, multiple-fault diagnosis of time-varying, continous physical devices, pp. 9–15 (1990)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Pavlov, A., Helmer, S., Moerkotte, G. (2005). A Model-Based Monitoring and Diagnosis System for a Space-Based Astrometry Mission. In: Andersen, K.V., Debenham, J., Wagner, R. (eds) Database and Expert Systems Applications. DEXA 2005. Lecture Notes in Computer Science, vol 3588. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11546924_90
Download citation
DOI: https://doi.org/10.1007/11546924_90
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28566-3
Online ISBN: 978-3-540-31729-6
eBook Packages: Computer ScienceComputer Science (R0)