Publication Date

5-2021

Date of Final Oral Examination (Defense)

7-16-2019

Type of Culminating Activity

Dissertation

Degree Title

Doctor of Philosophy in Electrical and Computer Engineering

Department

Electrical and Computer Engineering

Major Advisor

Sin Ming Loo, Ph.D.

Advisor

Mike Hurley, Ph.D.

Advisor

Jim Browning, Ph.D.

Advisor

Brian Jaques, Ph.D.

Abstract

With the closing of the Yucca mountain storage facility, on-site storage of spent nuclear fuel at reactor sites has increased and will continue to increase until a permanent storage facility is prepared. Dry storage canisters are used to store spent nuclear fuel waste over long periods of time, but are susceptible to mechanical failure via corrosion. This dissertation presents a system to monitor the integrity of the storage canister. Sensor data fusion algorithms have been designed to predict the integrity of the storage system and provide feedback for preventative maintenance. The environmental conditions that lead to corrosion have been replicated and detected by the sensor system within an environmental chamber and the predictive model has been able to estimate the time till failure of a sacrificial corrosion sensor.

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