Design methodology for a neural network-based telemetry monitor

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.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Aerospace Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2011

Author dc:creator

• Lembeck, Michael Francis

Contributors dc:contributor

• Yen, S.M.

• Engineering, Aerospace
• Computer Science

Statement dc:rights

• Copyright 1991 Lembeck, Michael Francis

Language dc:language

eng

Identifier

AAI9136655
(UMI)AAI9136655

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/21484