Design methodology for a neural network-based telemetry monitor
Lembeck, Michael Francis
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Permalink
https://hdl.handle.net/2142/21484
Description
Title
Design methodology for a neural network-based telemetry monitor
Author(s)
Lembeck, Michael Francis
Issue Date
1991
Doctoral Committee Chair(s)
Yen, S.M.
Department of Study
Aerospace Engineering
Discipline
Aerospace Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Aerospace
Computer Science
Language
eng
Abstract
This dissertation identifies the requirements and evaluates an architectural framework for an artificial neural network-based system that is capable of fulfilling monitoring and control requirements of future aerospace missions. Incorporated into this framework are a newly developed training algorithm and the concept of cooperative network architectures. The feasibility of such an approach is assessed for its ability to identify faults in low frequency waveforms and to generate subsequent controlling outputs for a single parameter spacecraft system.
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