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Description
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 |
This item appears in the following Collection(s)
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Graduate Dissertations and Theses at Illinois
Graduate Theses and Dissertations at Illinois -
Dissertations and Theses - Aerospace Engineering