Reactor Facility Operational State Classification Using Gas Effluents and Radiation Measurements
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.
- Research Organization:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-00OR22725
- OSTI ID:
- 1884049
- Resource Relation:
- Conference: IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) - Sydney, , Australia - 11/10/2018 3:00:00 PM-11/17/2018 3:00:00 PM
- Country of Publication:
- United States
- Language:
- English
Facility On/Off Inference by Fusing Multiple Effluence Measurements
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conference | October 2017 |
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