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Members are devoted to applying nuclear science and engineering technologies involving isotopes, radiation applications, and associated equipment in scientific research, development, and industrial processes. Their interests lie primarily in education, industrial uses, biology, medicine, and health physics. Division committees include Analytical Applications of Isotopes and Radiation, Biology and Medicine, Radiation Applications, Radiation Sources and Detection, and Thermal Power Sources.
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Nicholas Tsoulfanidis—ANS member since 1969
We welcome ANS members who have careered in the community to submit their own Nuclear Legacy stories, so that the personal history of nuclear power can be captured. For information on submitting your stories, contact nucnews@ans.org.
As an undergraduate I studied physics at the University of Athens. I entered the university in 1955 after successfully passing a national exam (came up fourth in a field of about 700 candidates). Upon graduation and finishing my mandatory two-year military service, the plan was to teach physics either in a public high school or as a tutor for a private for-profit institution, preparing high school students for the national exam.
M. Humberstone, B. Wood, J. Henkel, J. W. Hines
Nuclear Technology | Volume 173 | Number 1 | January 2011 | Pages 35-45
Technical Paper | NPIC&HMIT Special / Nuclear Plant Operations and Control | doi.org/10.13182/NT11-A11482
Articles are hosted by Taylor and Francis Online.
Models used for system monitoring must strike a balance between stability and elasticity. Ideally, a model should adapt to new operating conditions without losing the ability to differentiate faults from nominal conditions. To this end, an adaptive nonparametric model (ANPM) has been developed for integrated monitoring, diagnostic, and prognostic use on small to medium size reactors. This paper gives an overview of the development of the ANPM with two example applications. The ANPM's original intent is to adapt a nonparametric model's memory matrix from data created using a first principle model (FPM) to the system's actual unfaulted data. This would be useful for monitoring new system designs from first construction and operation when the only available data are from FPMs. The FPM's data are used to build the best possible models initially, but during the system's operation, new data can be collected that are more accurate for future empirical model predictions. The use of the ANPM is demonstrated on two systems. The first system is a heat exchanger model that is modeled in SIMULINK with both a low-fidelity and a high-fidelity simulation. The second system is a flow loop, a physical system at The University of Tennessee that is also modeled in SIMULINK. The results of testing the ANPM on nonfaulted conditions for the heat exchanger model and the flow loop are given. Areas of future work and development are outlined.