Acknowledgement
This research was supported by Development of Core Technology to improve Nuclear Power Plant Safety Operation Program (Grant No 20224B10100090) funded by Ministry of Trade, Industry and Energy (MOTIE).).
References
- IEC 61888, Nuclear Power Plants - Instrumentation Important to Safety - Determination and Maintenance of Trip Setpoints, 2002.
- ANSI/ISA, Standard 67.04.01-2018, "Setpoints for Nuclear Safety-Related Instrumentation,", ISA, Research Triangle Park, NC, 2018.
- ISO/IEC Guide 98-3, "Uncertainty of Measurement - Part 3: Guide to the Expression of Uncertainty in Measurement" (GUM 95) - and as a JCGM (Joint Committee for Guides in Metrology) Guide (JCGM 100:2008), 2008.
- LAC-P14:09, ILAC(International Laboratory Accreditation Cooperation) Policy for Measurement Uncertainty in Calibration, 2020.
- ISO/IEC 17025:2017, General Requirements for the Competence of Testing and Calibration Laboratories, 2017.
- IEC 115, Application of Uncertainty of Measurement to Conformity Assessment Activities in the Electrotechnical Sector, 2021.
- W. Woeger, Probability assignment to systematic deviations by the principle of maximum entropy, IEEE Trans. Instrum. Meas. IM-36 (No.2) (June 1987).
- S. Finlayson. https://sgfin.github.io/2017/03/16/Deriving-probability-distributions-using-the-Principle-of-Maximum-Entropy/, 2017.
- P. Fotowicz, An analytical method for calculating a coverage interval, Metrologia 43 (2006) 42-45. https://doi.org/10.1088/0026-1394/43/1/006
- L. Moszczynski, T. Bielski, Development of analytical method for calculation the expanded uncertainty in convolution of Rectangular and Gaussian distribution, Measurement 46 (2013) 1896-1903. https://doi.org/10.1016/j.measurement.2013.02.013
- P. Fotowicz, Methods for calculating the coverage interval based on the Flatten-Gaussian distribution, Measurement 55 (2014) 272-275. https://doi.org/10.1016/j.measurement.2014.05.006
- U.S.NRC, Regulatory Guide 1.105, Revision 4, Setpoints for Safety-related Instrumentation, 2021.
- ISO/IEC GUIDE 98-3/Suppl, 1 Uncertainty of Measurement Part 3: Guide to the Expression of Uncertainty in Measurement (GUM95) Supplement 1: Propagation of Distributions Using a Monte Carlo Method, 2008.
- R.G. Paulo, Guto, et al., Theory and application of Monte Carlo simulation, in: Victor (Wai Kin) Chan (Ed.), Monte Carlo Simulations Applied to Uncertainty in Measurement, Ch.2, 2013, p. 32, https://doi.org/10.5772/53014.
- ISA, ISA-RP67.04.02-2010 Methodologies for the Determination of Setpoints for Nuclear Safety-Related Instrumentation, 2010.
- C.F. Dietrich, Uncertainty, Calibration and Probability, second ed., Adam Hilger, 1991, pp. 237-239.