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Title page for ETD etd-11212016-025249


Type of Document Dissertation
Author Diggins, Zachary John
Author's Email Address zachary.j.diggins@vanderbilt.edu
URN etd-11212016-025249
Title System Health Awareness in Total-Ionizing Dose Environments
Degree PhD
Department Electrical Engineering
Advisory Committee
Advisor Name Title
Arthur Witulski Committee Chair
Eric Barth, Ph.D. Committee Member
Gabor Karsai, Ph.D. Committee Member
Robert Reed, Ph.D. Committee Member
Ron Schrimpf, Ph.D. Committee Member
Keywords
  • bayesian network
  • commercial-off-the-shelf
  • robotics
  • total-ionizing dose
  • radiation hardness assurance
  • radiation effects
Date of Defense 2016-11-11
Availability unrestricted
Abstract
There is increasing interest in using commercial-off-the-shelf (COTS) electronics in radiation environments, such as robotic systems for remediation after the nuclear accident at Fukushima or in low-cost CubeSats. Commercial electronics have varying levels or robustness to radiation environments, and without extensive testing and redesign, the survivability of COTS systems in radiation environments is unknown and potentially insufficient. This work identifies characteristics of robotic commercial-off-the-shelf component degradation, primarily part-to part variability and the interactions between the degradation of multiple components. Insight into the health of a class of components, micro-controllers, was developed using timing characteristics. A framework using either continuous or discrete Bayesian networks was developed to model the degradation observed in sensors and other electronic components. The Bayesian network can be incorporated with deterministic models to produce a robust and scalable analysis methodology, granting awareness of how the system will behave in the radiation environment and providing insight into areas for improvement in the system hardware and software.
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