scholarly journals Application of process monitoring to anomaly detection in nuclear material processing systems via system-centric event interpretation of data from multiple sensors of varying reliability

2017 ◽  
Vol 103 ◽  
pp. 60-73 ◽  
Author(s):  
Humberto E. Garcia ◽  
Michael F. Simpson ◽  
Wen-Chiao Lin ◽  
Reed B. Carlson ◽  
Tae-Sic Yoo
Keyword(s):  
Material Processing ◽  
Anomaly Detection ◽  
Process Monitoring ◽  
Nuclear Material ◽  
Multiple Sensors ◽  
Event Interpretation

Proposal of the Anomaly Detection Method of Live-alone by LOF using Multiple Sensors

2015 ◽  
Vol 135 (12) ◽  
pp. 749-755
Author(s):  
Taiyo Matsumura ◽  
Ippei Kamihira ◽  
Katsuma Ito ◽  
Takashi Ono
Keyword(s):  
Anomaly Detection ◽  
Detection Method ◽  
Multiple Sensors

Application of Meshless Pore-Level Model to Pyrolysis and Synthesis of Nuclear Fuels

2007 ◽  
Author(s):  
Xiaolin Wang ◽  
Hui Zhang ◽  
Lili Zheng
Keyword(s):  
Material Processing ◽  
Transport Phenomena ◽  
Nuclear Material ◽  
Processing Technique ◽  
System Level ◽  
Scale Model ◽  
Nuclear Fuels ◽  
Particle Hydrodynamics ◽  
Level Model ◽  
Pore Level

Uranium-ceramic nuclear fuels can be fabricated through pyrolysis-based materials processing technique. This technique requires lower energy compared to sintering route. During the fabrication process, the source material changes composition continuously and chemical reactions and transport phenomena vary accordingly. Therefore, to obtain such nuclear fuel materials with high uniformity of microstructure/species without crack, transport phenomena in the material processing needs to be better understood. A system-scale model has been developed to account for the pyrolysis-based uranium-ceramic nuclear material processing in our prior work. In this study, a pore-scale numerical model based on Smoothed Particle Hydrodynamics (SPH) will be described for modeling the synthesis of SiC matrix and U3O8. The system-level model provides thermal boundary conditions to the pore-level model. The microstructure and compositions of the produced composites will be studied. Since the control of process temperature plays an important role in the material quality, the effects of heating rate and U3O8 particle size and volume on species uniformity and microstructure are investigated.

scholarly journals Advanced die sinking EDM process monitoring based on anomaly detection for online identification of improper process conditions

Procedia CIRP ◽  
2020 ◽  
Vol 88 ◽  
pp. 381-386
Author(s):  
Alessandra Caggiano ◽  
Francesco Napolitano ◽  
Roberto Teti ◽  
Stefano Bonini ◽  
Umang Maradia
Keyword(s):  
Anomaly Detection ◽  
Process Monitoring ◽  
Process Conditions ◽  
Online Identification ◽  
Edm Process

scholarly journals The Use of Process Monitoring Data for Nuclear Material Accounting Summary Report

1980 ◽  
Author(s):  
R. J. Brouns ◽  
B. W. Smith ◽  
D. W. Brite ◽  
C. O. Harvey
Keyword(s):  
Process Monitoring ◽  
Nuclear Material ◽  
Monitoring Data ◽  
Summary Report ◽  
Material Accounting

scholarly journals Revisiting Statistical Aspects of Nuclear Material Accounting

2013 ◽  
Vol 2013 ◽  
pp. 1-15 ◽  
Author(s):  
T. Burr ◽  
M. S. Hamada
Keyword(s):  
Process Monitoring ◽  
Measurement Errors ◽  
Nuclear Material ◽  
Data Driven ◽  
Testing Period ◽  
The Difference ◽  
One Year ◽  
The Impact ◽  
Material Accounting

Nuclear material accounting (NMA) is the only safeguards system whose benefits are routinely quantified. Process monitoring (PM) is another safeguards system that is increasingly used, and one challenge is how to quantify its benefit. This paper considers PM in the role of enabling frequent NMA, which is referred to as near-real-time accounting (NRTA). We quantify NRTA benefits using period-driven and data-driven testing. Period-driven testing makes a decision to alarm or not at fixed periods. Data-driven testing decides as the data arrives whether to alarm or continue testing. The difference between period-driven and datad-riven viewpoints is illustrated by using one-year and two-year periods. For both one-year and two-year periods, period-driven NMA using once-per-year cumulative material unaccounted for (CUMUF) testing is compared to more frequent Shewhart and joint sequential cusum testing using either MUF or standardized, independently transformed MUF (SITMUF) data. We show that the data-driven viewpoint is appropriate for NRTA and that it can be used to compare safeguards effectiveness. In addition to providing period-driven and data-driven viewpoints, new features include assessing the impact of uncertainty in the estimated covariance matrix of the MUF sequence and the impact of both random and systematic measurement errors.

scholarly journals Hybrid Statistical Testing for Nuclear Material Accounting Data and/or Process Monitoring Data in Nuclear Safeguards

Energies ◽  
2015 ◽  
Vol 8 (1) ◽  
pp. 501-528 ◽  
Author(s):  
Tom Burr ◽  
Michael Hamada ◽  
Larry Ticknor ◽  
James Sprinkle
Keyword(s):  
Process Monitoring ◽  
Nuclear Material ◽  
Statistical Testing ◽  
Monitoring Data ◽  
Nuclear Safeguards ◽  
Accounting Data ◽  
Material Accounting
Sign in / Sign up

Export Citation Format

Share Document