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Prediction of extreme temperatures in a reactor using measurements affected by control action.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Prediction of extreme temperatures in a reactor using measurements affected by control action. / Tunnicliffe Wilson, Granville; Logsdon, J.; Scarrot, C.
In: Technometrics, Vol. 45, No. 2, 01.05.2003, p. 159-168.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Tunnicliffe Wilson, G, Logsdon, J & Scarrot, C 2003, 'Prediction of extreme temperatures in a reactor using measurements affected by control action.', Technometrics, vol. 45, no. 2, pp. 159-168. https://doi.org/10.1198/004017003188618797

APA

Tunnicliffe Wilson, G., Logsdon, J., & Scarrot, C. (2003). Prediction of extreme temperatures in a reactor using measurements affected by control action. Technometrics, 45(2), 159-168. https://doi.org/10.1198/004017003188618797

Vancouver

Tunnicliffe Wilson G, Logsdon J, Scarrot C. Prediction of extreme temperatures in a reactor using measurements affected by control action. Technometrics. 2003 May 1;45(2):159-168. doi: 10.1198/004017003188618797

Author

Tunnicliffe Wilson, Granville ; Logsdon, J. ; Scarrot, C. / Prediction of extreme temperatures in a reactor using measurements affected by control action. In: Technometrics. 2003 ; Vol. 45, No. 2. pp. 159-168.

Bibtex

@article{6c8493fedd3a40e7abe44131cac0ef22,
title = "Prediction of extreme temperatures in a reactor using measurements affected by control action.",
abstract = "In a nuclear reactor, the coolant temperatures at 4,000 channel outlets are important for risk assessment. Temperatures measurements are made at only one in nine channels, and predictions of the temperatures are required at the remaining channels. The measured temperatures do not exceed an upper limit imposed by control action. Their histogram therefore provides no direct information about the distribution above this limit of the temperatures at the remaining channels. We predict the unmeasured temperatures by spatial interpolation of a surface fitted to the measured temperatures and modeling of the distribution of the residuals from this fit.",
keywords = "EXTREMAL INDEX, GENERALIZED PARETO DISTRIBUTION, SPATIAL INTERPOLATION",
author = "{Tunnicliffe Wilson}, Granville and J. Logsdon and C. Scarrot",
note = "RAE_import_type : Journal article RAE_uoa_type : Statistics and Operational Research",
year = "2003",
month = may,
day = "1",
doi = "10.1198/004017003188618797",
language = "English",
volume = "45",
pages = "159--168",
journal = "Technometrics",
issn = "1537-2723",
publisher = "American Statistical Association",
number = "2",

}

RIS

TY - JOUR

T1 - Prediction of extreme temperatures in a reactor using measurements affected by control action.

AU - Tunnicliffe Wilson, Granville

AU - Logsdon, J.

AU - Scarrot, C.

N1 - RAE_import_type : Journal article RAE_uoa_type : Statistics and Operational Research

PY - 2003/5/1

Y1 - 2003/5/1

N2 - In a nuclear reactor, the coolant temperatures at 4,000 channel outlets are important for risk assessment. Temperatures measurements are made at only one in nine channels, and predictions of the temperatures are required at the remaining channels. The measured temperatures do not exceed an upper limit imposed by control action. Their histogram therefore provides no direct information about the distribution above this limit of the temperatures at the remaining channels. We predict the unmeasured temperatures by spatial interpolation of a surface fitted to the measured temperatures and modeling of the distribution of the residuals from this fit.

AB - In a nuclear reactor, the coolant temperatures at 4,000 channel outlets are important for risk assessment. Temperatures measurements are made at only one in nine channels, and predictions of the temperatures are required at the remaining channels. The measured temperatures do not exceed an upper limit imposed by control action. Their histogram therefore provides no direct information about the distribution above this limit of the temperatures at the remaining channels. We predict the unmeasured temperatures by spatial interpolation of a surface fitted to the measured temperatures and modeling of the distribution of the residuals from this fit.

KW - EXTREMAL INDEX

KW - GENERALIZED PARETO DISTRIBUTION

KW - SPATIAL INTERPOLATION

U2 - 10.1198/004017003188618797

DO - 10.1198/004017003188618797

M3 - Journal article

VL - 45

SP - 159

EP - 168

JO - Technometrics

JF - Technometrics

SN - 1537-2723

IS - 2

ER -