Iterative inversion for topology mapping of branched networks using time domain reflectometry

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Title Iterative inversion for topology mapping of branched networks using time domain reflectometry
Publication Type thesis
School or College College of Engineering
Department Electrical & Computer Engineering
Author Smith, Steven Michael
Date 2007-08-27
Description Branched wiring networks are interconnections of wires that provide for the connection of dc and RF (Radio Frequency) components in an aircraft or other type of apparatus or structure. If by age or by mechanical means the wiring network develops a wiring fault such as bare wire, it can cause fire or other types of emergencies which may cause the loss of life and or property. A Steepest Descent Method is applied to the determination of the topology of a network of branched wires from the Time Domain Reflectometry (TDR) response of the network. Inversion theory is used to derive the equations necessary for the Steepest Descent Method. Functional Spaces are explained, and the properties of the Hilbert Space are used in the minimization of the Misfit Functional. A computer algorithm is written taking into account all a priori information so as to speed the process of finding the wire topology map. The method works reasonably well if the data are perfect (no noise). With the addition of noise the algorithm needs to be modified. Noise causes the impedance values to spread, making the determination of characteristic impedance more problematic.
Type Text
Publisher University of Utah
Subject Electric fault location; Building wiring; Airplane wiring
Dissertation Institution University of Utah
Dissertation Name MS
Language eng
Relation is Version of Digital reproduction of "Iterative inversion for topology mapping of branched networks using time domain reflectometry" J. Willard Marriott Library Special Collections TK7.5 2007 .S65
Rights Management © Steven Michael Smith
Format application/pdf
Format Extent 50,865 bytes
Identifier us-etd2,122550
Source Original: University of Utah J. Willard Marriott Library Special Collections
Conversion Specifications Original scanned on Epson GT-30000 as 400 dpi to pdf using ABBYY FineReader 9.0 Professional Edition.
ARK ark:/87278/s6j67xdr
Setname ir_etd
ID 192607
Reference URL https://collections.lib.utah.edu/ark:/87278/s6j67xdr
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