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Title:Design methodology for a neural network-based telemetry monitor
Author(s):Lembeck, Michael Francis
Doctoral Committee Chair(s):Yen, S.M.
Department / Program:Aerospace Engineering
Discipline:Aerospace Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Engineering, Aerospace
Computer Science
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.
Issue Date:1991
Type:Text
Language:English
URI:http://hdl.handle.net/2142/21484
Rights Information:Copyright 1991 Lembeck, Michael Francis
Date Available in IDEALS:2011-05-07
Identifier in Online Catalog:AAI9136655
OCLC Identifier:(UMI)AAI9136655


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