Estimating Alarm Thresholds for Process Monitoring Data under Different Assumptions about the Data Generating Mechanism
Joint Authors
Ticknor, Larry
Howell, John
Hamada, Michael S.
Burr, Tom
Weaver, Brian
Skurikhin, Misha
Source
Science and Technology of Nuclear Installations
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-25
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Engineering Sciences and Information Technology
Abstract EN
Process monitoring (PM) for nuclear safeguards sometimes requires estimation of thresholds corresponding to small false alarm rates.
Threshold estimation dates to the 1920s with the Shewhart control chart; however, because possible new roles for PM are being evaluated in nuclear safeguards, it is timely to consider modern model selection options in the context of threshold estimation.
One of the possible new PM roles involves PM residuals, where a residual is defined as residual = data − prediction.
This paper reviews alarm threshold estimation, introduces model selection options, and considers a range of assumptions regarding the data-generating mechanism for PM residuals.
Two PM examples from nuclear safeguards are included to motivate the need for alarm threshold estimation.
The first example involves mixtures of probability distributions that arise in solution monitoring, which is a common type of PM.
The second example involves periodic partial cleanout of in-process inventory, leading to challenging structure in the time series of PM residuals.
American Psychological Association (APA)
Burr, Tom& Hamada, Michael S.& Howell, John& Skurikhin, Misha& Ticknor, Larry& Weaver, Brian. 2013. Estimating Alarm Thresholds for Process Monitoring Data under Different Assumptions about the Data Generating Mechanism. Science and Technology of Nuclear Installations،Vol. 2013, no. 2013, pp.1-18.
https://search.emarefa.net/detail/BIM-492045
Modern Language Association (MLA)
Burr, Tom…[et al.]. Estimating Alarm Thresholds for Process Monitoring Data under Different Assumptions about the Data Generating Mechanism. Science and Technology of Nuclear Installations No. 2013 (2013), pp.1-18.
https://search.emarefa.net/detail/BIM-492045
American Medical Association (AMA)
Burr, Tom& Hamada, Michael S.& Howell, John& Skurikhin, Misha& Ticknor, Larry& Weaver, Brian. Estimating Alarm Thresholds for Process Monitoring Data under Different Assumptions about the Data Generating Mechanism. Science and Technology of Nuclear Installations. 2013. Vol. 2013, no. 2013, pp.1-18.
https://search.emarefa.net/detail/BIM-492045
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-492045