Hybrid Statistical Testing for Nuclear Material Accounting Data and/or Process Monitoring Data in Nuclear Safeguards
The aim of nuclear safeguards is to ensure that special nuclear material is used for peaceful purposes. Historically, nuclear material accounting (NMA) has provided the quantitative basis for monitoring for nuclear material loss or diversion, and process monitoring (PM) data is collected by the oper...
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MDPI AG
2015-01-01
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| Series: | Energies |
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| Online Access: | http://www.mdpi.com/1996-1073/8/1/501 |
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doaj-7c7f364a831546ba9d46d0dafd6603c92020-11-24T21:50:23ZengMDPI AGEnergies1996-10732015-01-018150152810.3390/en8010501en8010501Hybrid Statistical Testing for Nuclear Material Accounting Data and/or Process Monitoring Data in Nuclear SafeguardsTom Burr0Michael S. Hamada1Larry Ticknor2James Sprinkle3Statistical Sciences, F600, Los Alamos National Laboratory, Los Alamos, NM 87545, USAStatistical Sciences, F600, Los Alamos National Laboratory, Los Alamos, NM 87545, USAStatistical Sciences, F600, Los Alamos National Laboratory, Los Alamos, NM 87545, USASystems Design and Analysis, C921, Los Alamos National Laboratory, Los Alamos, NM 87545, USAThe aim of nuclear safeguards is to ensure that special nuclear material is used for peaceful purposes. Historically, nuclear material accounting (NMA) has provided the quantitative basis for monitoring for nuclear material loss or diversion, and process monitoring (PM) data is collected by the operator to monitor the process. PM data typically support NMA in various ways, often by providing a basis to estimate some of the in-process nuclear material inventory. We develop options for combining PM residuals and NMA residuals (residual = measurement − prediction), using a hybrid of period-driven and data-driven hypothesis testing. The modified statistical tests can be used on time series of NMA residuals (the NMA residual is the familiar material balance), or on a combination of PM and NMA residuals. The PM residuals can be generated on a fixed time schedule or as events occur.http://www.mdpi.com/1996-1073/8/1/501data drivenhybrid methodnuclear material accountingperiod drivenprocess monitoringresidualsstatistical methodstime series |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Tom Burr Michael S. Hamada Larry Ticknor James Sprinkle |
| spellingShingle |
Tom Burr Michael S. Hamada Larry Ticknor James Sprinkle Hybrid Statistical Testing for Nuclear Material Accounting Data and/or Process Monitoring Data in Nuclear Safeguards Energies data driven hybrid method nuclear material accounting period driven process monitoring residuals statistical methods time series |
| author_facet |
Tom Burr Michael S. Hamada Larry Ticknor James Sprinkle |
| author_sort |
Tom Burr |
| title |
Hybrid Statistical Testing for Nuclear Material Accounting Data and/or Process Monitoring Data in Nuclear Safeguards |
| title_short |
Hybrid Statistical Testing for Nuclear Material Accounting Data and/or Process Monitoring Data in Nuclear Safeguards |
| title_full |
Hybrid Statistical Testing for Nuclear Material Accounting Data and/or Process Monitoring Data in Nuclear Safeguards |
| title_fullStr |
Hybrid Statistical Testing for Nuclear Material Accounting Data and/or Process Monitoring Data in Nuclear Safeguards |
| title_full_unstemmed |
Hybrid Statistical Testing for Nuclear Material Accounting Data and/or Process Monitoring Data in Nuclear Safeguards |
| title_sort |
hybrid statistical testing for nuclear material accounting data and/or process monitoring data in nuclear safeguards |
| publisher |
MDPI AG |
| series |
Energies |
| issn |
1996-1073 |
| publishDate |
2015-01-01 |
| description |
The aim of nuclear safeguards is to ensure that special nuclear material is used for peaceful purposes. Historically, nuclear material accounting (NMA) has provided the quantitative basis for monitoring for nuclear material loss or diversion, and process monitoring (PM) data is collected by the operator to monitor the process. PM data typically support NMA in various ways, often by providing a basis to estimate some of the in-process nuclear material inventory. We develop options for combining PM residuals and NMA residuals (residual = measurement − prediction), using a hybrid of period-driven and data-driven hypothesis testing. The modified statistical tests can be used on time series of NMA residuals (the NMA residual is the familiar material balance), or on a combination of PM and NMA residuals. The PM residuals can be generated on a fixed time schedule or as events occur. |
| topic |
data driven hybrid method nuclear material accounting period driven process monitoring residuals statistical methods time series |
| url |
http://www.mdpi.com/1996-1073/8/1/501 |
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AT tomburr hybridstatisticaltestingfornuclearmaterialaccountingdataandorprocessmonitoringdatainnuclearsafeguards AT michaelshamada hybridstatisticaltestingfornuclearmaterialaccountingdataandorprocessmonitoringdatainnuclearsafeguards AT larryticknor hybridstatisticaltestingfornuclearmaterialaccountingdataandorprocessmonitoringdatainnuclearsafeguards AT jamessprinkle hybridstatisticaltestingfornuclearmaterialaccountingdataandorprocessmonitoringdatainnuclearsafeguards |
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