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Journal Articles

Loss detection results on stimulated tank data modified by realistic effects

Burr, T.*; Hamada, M. S.*; Howell, J.*; Suzuki, Mitsutoshi

Journal of Nuclear Science and Technology, 49(2), p.209 - 221, 2012/02

 Times Cited Count:7 Percentile:48.18(Nuclear Science & Technology)

Solution monitoring (SM) is a type of process monitoring (PM) intended to improve nuclear safeguards in facilities such as reprocessing plants. In SM, volume (V) and mass (M) are monitored in each tank-to-tank transfer and during all wait modes for each tank, resulting in residuals that arise by comparing observations to predictions. The main performance measure is the estimated loss detection probability (DP) for material loss scenarios. This report re-estimates DPs when realistic effects are included in simulated data, such as pump carryover, evaporation, condensation, and mixing/sparging. One challenge involves the need for SM to be part of day-to-day assessment without leading to too many alarms, so we widen the control limits to avoid alarming on innocent process variation effects.

Journal Articles

Signal estimation and change detection in tank data for numerical safeguards

Burr, T.*; Suzuki, Mitsutoshi; Howell, J.*; Jongo, C. E.*; Hamada, M. S.*

Nuclear Instruments and Methods in Physics Research A, 640(1), p.200 - 212, 2011/06

 Times Cited Count:9 Percentile:56.9(Instruments & Instrumentation)

Process monitoring (PM) is increasingly important in nuclear safeguards as a complement to mass-balance based nuclear materials accounting (NMA). Typically, PM involves more frequent but lower quality measurements than NMA. While NMA estimates special nuclear material (SNM) mass balances and uncertainties, PM often tracks SNM attributes qualitatively or in the case of solution monitoring (SM) tracks bulk mass and volume. Automatic event marking is used in several nuclear safeguards PM systems. All methods are evaluated on both raw and smoothed data, and several smoothing options are compared, including standard filters, hybrid filters, and local kernel smoothing. The main finding is that for real and simulated examples considered, a two-step strategy is most effective. First, any reasonably effective initial smoother is used to provide a good initial guess at change point locations. Second, PLR is applied, looking for one change point at a time.

Journal Articles

Radiocarbon in the water column of the Southwestern North Pacific Ocean; 24 years after GEOSECS

Povinec, P. P.*; Aramaki, Takafumi*; Burr, G. S.*; Jull, A. J. T.*; Liong Wee Kwong, L.*; Togawa, Orihiko

Radiocarbon, 46(2), p.583 - 594, 2004/09

 Times Cited Count:16 Percentile:32.44(Geochemistry & Geophysics)

no abstracts in English

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