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AUTHOR(S): M. Maswadah
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TITLE The Reliability of the Nuclear Reactor Pumps Using Numerical Estimation Methods |
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ABSTRACT This paper presents the kernel estimation as a new estimation method for studying the reliability of the nucellar reactor pumps based on the kernel density function. In the literature, the Pareto-II distribution is one of the models, which is the best fit for the nuclear reactor pumps data. Thus, in this work the Pareto-II distribution parameters have been estimated based on the kernel and Picard methods and comparing to the Bayesian method based on the informative gamma and kernel priors via an extensive Monte Carlo simulation study. The simulation results indicated that the kernel and Picard estimation methods are more efficient than the Bayesian method. As application, the reliability of safety mechanisms of the nuclear reactor pumps based on real data have been studied, which indicated that decreasing the reliability with increasing time, which need more cooling at higher temperatures. |
KEYWORDS Gamma prior; Kernel estimation method; Kernel prior; Picard’s method |
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Cite this paper M. Maswadah. (2026) The Reliability of the Nuclear Reactor Pumps Using Numerical Estimation Methods. International Journal of Chemistry and Chemical Engineering Systems, 11, 7-18 |
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