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American Nuclear Society international meeting; Washington, D. C; 12 Nov 1972; Published in summary form only.
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Journal Article
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Conference
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Trans. Amer. Nucl. Soc; v. 15(2); p. 913-914
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AbstractAbstract
No abstract available
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Journal Article
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Nuclear Science and Engineering; v. 52(1); p. 1-11
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AbstractAbstract
No abstract available
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18. annual American Nuclear Society conference; Las Vegas, Nev; 18 Jun 1972; Published in summary form only.
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Journal Article
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Conference
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Trans. Amer. Nucl. Soc; v. 15(1); p. 266-267
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AbstractAbstract
No abstract available
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18. annual American Nuclear Society conference; Las Vegas, Nev; 18 Jun 1972; Published in summary form only.
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Journal Article
Literature Type
Conference
Journal
Trans. Amer. Nucl. Soc; v. 15(1); p. 267-268
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AbstractAbstract
No abstract available
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American Nuclear Society's annual meeting; Miami Beach, FL (USA); 7 - 12 Jun 1981; CONF-810606--; Published in summary form only.
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Journal Article
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Conference
Journal
Transactions of the American Nuclear Society; ISSN 0003-018X; ; v. 38 p. 483-484
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AbstractAbstract
No abstract available
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ANS winter meeting; San Francisco, CA (USA); 29 Nov - 4 Dec 1981; CONF-811103--; Published in summary form only.
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Journal Article
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Conference
Journal
Transactions of the American Nuclear Society; ISSN 0003-018X; ; v. 39 p. 573-576
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AbstractAbstract
No abstract available
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Annual meeting of the American Nuclear Society; Philadelphia, PA; 23 Jun 1974; Published in summary form only.
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Journal Article
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Conference
Journal
Trans. Amer. Nucl. Soc; v. 18 p. 143-144
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AbstractAbstract
[en] A method is developed to propagate uncertainties in the basic event unavailabilities through a logic model to obtain the transient overpower event unavailability. The method consists of combining probability distributions in the discrete form without performing any sampling. The results are shown to be sufficiently accurate and contain no sampling errors; the computation time is considerably less compared to Monte Carlo simulation and histogram propagation. Uncertainty propagation methods are found to be sensitive to the spread of the basic event unavailability distributions; the proposed method produces results less conservative compared to those from propagation of moments or Monte Carlo simulation
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Journal Article
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Nuclear Technology; ISSN 0029-5450; ; v. 59(2); p. 238-245
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AbstractAbstract
[en] Three uncertainty propagation techniques, namely method of moments, discrete probability distribution (DPD), and Monte Carlo simulation, generally used in probabilistic risk assessment, are compared and conclusions drawn in terms of the accuracy of the results. For small uncertainty in the basic event unavailabilities, the three methods give similar results. For large uncertainty, the method of moments is in error, and the appropriate method is to propagate uncertainty in the discrete form either by DPD method without sampling or by Monte Carlo. (orig.)
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Nuclear Engineering and Design; ISSN 0029-5493; ; v. 68(1); p. 1-3
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AbstractAbstract
[en] Quantification of risk of large technological systems, such as nuclear power plants, is often done on the basis of point estimates. However, one source of confusion and controversy is the choice of point estimates for the basic event unavailabilities and the interpretation of the system unavailability thus obtained. It is shown through several examples that the system unavailability obtained by using median values of the basic event unavailabilities results in a very optimistic estimate and does not represent the central tendency of the TOP event probability distribution. On the other hand, the use of mean values of the basic event unavailability results in a conservative system unavailability. (author)
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Journal Article
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Reliability Engineering; ISSN 0143-8174; ; v. 6(4); p. 211-227
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