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Proceedings Paper

Automated system trend monitoring based on time series analysis
Author(s): Scott A. Starks; Jaime L. Mercado
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Paper Abstract

Trend monitoring is an important task performed by flight controllers in support of space missions. Effective means of trend monitoring enable the forecast of future problems with a system or subsystem prior to their actual occurrence. For future space missions, automated approaches to trend monitoring are essential in order to provide for cost effectiveness and system maintainability and reliability. In this paper, a prototype is introduced which shows promise as an aid to trend monitoring. The approach is based upon concepts from the field of time series analysis.

Paper Details

Date Published: 1 November 1992
PDF: 5 pages
Proc. SPIE 1825, Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision, (1 November 1992); doi: 10.1117/12.131543
Show Author Affiliations
Scott A. Starks, Univ. of Texas/El Paso (United States)
Jaime L. Mercado, Univ. of Texas/El Paso (United States)


Published in SPIE Proceedings Vol. 1825:
Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision
David P. Casasent, Editor(s)

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