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Intelligent data reduction for autonomous power systemsSince 1984 Marshall Space Flight Center was actively engaged in research and development concerning autonomous power systems. Much of the work in this domain has dealt with the development and application of knowledge-based or expert systems to perform tasks previously accomplished only through intensive human involvement. One such task is the health status monitoring of electrical power systems. Such monitoring is a manpower intensive task which is vital to mission success. The Hubble Space Telescope testbed and its associated Nickel Cadmium Battery Expert System (NICBES) were designated as the system on which the initial proof of concept for intelligent power system monitoing will be established. The key function performed by an engineer engaged in system monitoring is to analyze the raw telemetry data and identify from the whole only those elements which can be considered significant. This function requires engineering expertise on the functionality of the system, the mode of operation and the efficient and effective reading of the telemetry data. Application of this expertise to extract the significant components of the data is referred to as data reduction. Such a function possesses characteristics which make it a prime candidate for the application of knowledge-based systems' technologies. Such applications are investigated and recommendations are offered for the development of intelligent data reduction systems.
Document ID
19890012366
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Floyd, Stephen A. (Alabama Univ. Huntsville, AL, United States)
Date Acquired
September 5, 2013
Publication Date
December 1, 1988
Publication Information
Publication: Alabama Univ., Research Reports: 1988 NASA(ASEE Summer Faculty Fellowship Program
Subject Category
Cybernetics
Accession Number
89N21737
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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