November 2018

Conference Paper

Reactor Facility Operational State Classification Using Gas Effluents and Radiation Measurements

By:
Ramirez Aviles, Camila A; Rao, Nageswara S
Journal Name:
2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Record
Page Number:
1-2
Book Title:
2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC)
Publication Date:
November 2018
Publisher Location:
IEEE, New Jersey, United States of America
Conference Name:
IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
Conference Location:
Sydney, Australia
Conference Sponsor:
IEEE
View DOI Listing:
https://doi.org/10.1109/NSSMIC.2018.8824384

Abstract

Inferring the operational state of a reactor facility, using measurements from an independent in-situ monitoring system, is critical to the assessment of its compliance to agreements. We consider the problem of inferring the on/off operational state of a facility by using gas effluents and radiation measurements collected at the reactor's off-gas ventilation stack and within its surrounding area. Effluent release concentrations of three noble gases, namely, Ar-41, Cs-138, and Xe-138, are collected inside the ventilation stack and provided every four hours. Gamma spectra is recorded every second by a radiation detector located about 100 meters offset from the stack, which is affected by weather and nearby conditions. We study classifiers based on the correlation coefficient (CC) method [1] applied to individual modalities and their combinations. We implement CC classifiers using ground truth measurements collected over 2 operational cycles of High Flux Isotope Reactor (HFIR) at Oak Ridge National Laboratory (ORNL) in year 2017.

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