Title |
Historical civilian nuclear accident based nuclear reactor condition analyzer |
Publication Type |
thesis |
School or College |
College of Engineering |
Department |
Civil & Environmental Engineering |
Author |
McCoy, Kaylyn Marie |
Date |
2014-05 |
Description |
There are significant challenges to successfully monitoring multiple processes within a nuclear reactor facility. The evidence for this observation can be seen in the historical civilian nuclear incidents that have occurred with similar initiating conditions and sequences of events. Because there is a current lack within the nuclear industry, with regards to the monitoring of internal sensors across multiple processes for patterns of failure, this study has developed a program that is directed at accomplishing that charge through an innovation that monitors these systems simultaneously. The inclusion of digital sensor technology within the nuclear industry has appreciably increased many computer systems' capabilities to manipulate sensor signals, thus making the satisfaction of these monitoring challenges possible. One such manipulation to signal data has been explored in this study. The Nuclear Reactor Condition Analyzer (NRCA) program that has been developed for this research, with the assistance of the Nuclear Regulatory Commission's Graduate Fellowship, utilizes one-norm distance and kernel weighting equations to normalize all nuclear reactor parameters under the program's analysis. This normalization allows the program to set more consistent parameter value thresholds for a more simplified approach to analyzing the condition of the nuclear reactor under its scrutiny. The product of this research provides a means for the nuclear industry to implement a safety and monitoring program that can oversee the system parameters of a nuclear power reactor facility, like that of a nuclear power plant. |
Type |
Text |
Publisher |
University of Utah |
Subject |
Analyzer; Monitoring; Nuclear; Reactor; Safety |
Dissertation Institution |
University of Utah |
Dissertation Name |
Master of Science |
Language |
eng |
Rights Management |
Copyright © Kaylyn Marie McCoy 2014 |
Format |
application/pdf |
Format Medium |
application/pdf |
Format Extent |
1,450,664 Bytes |
Identifier |
etd3/id/2921 |
ARK |
ark:/87278/s64t9skk |
Setname |
ir_etd |
ID |
196490 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s64t9skk |