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Division Spotlight
Isotopes & Radiation
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.
Meeting Spotlight
International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2025)
April 27–30, 2025
Denver, CO|The Westin Denver Downtown
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Latest News
Argonne’s METL gears up to test more sodium fast reactor components
Argonne National Laboratory has successfully swapped out an aging cold trap in the sodium test loop called METL (Mechanisms Engineering Test Loop), the Department of Energy announced April 23. The upgrade is the first of its kind in the United States in more than 30 years, according to the DOE, and will help test components and operations for the sodium-cooled fast reactors being developed now.
Jiro Wakabayashi, Shin-Ichi Tashima, Akio Gofuku
Nuclear Technology | Volume 70 | Number 3 | September 1985 | Pages 343-353
Technical Paper | Fission Reactor | doi.org/10.13182/NT85-A15961
Articles are hosted by Taylor and Francis Online.
Two kinds of identification techniques for the diagnosis of disturbances in nuclear power plants have been proposed, and the applicability of these techniques to actual plants has been verified by computer experiments. In both techniques, a set of the observed signals (observed vector) obtained from an actual plant is identified with one of the categories representing a normal state, several anticipated anomalous situations, and an unanticipated anomalous state, in which the categories corresponding to the anticipated anomalous situations are classified by the kind and approximate magnitude of the anomaly source (the disturbance). The maximum likelihood technique is used in method 1. It applies to the identification of multiple anticipated disturbances that happen sequentially with some time interval, even if a plant has some nonlinear characteristics. The projective operator technique is used in method 2. It applies to the identification of any kind of multiple anticipated disturbances under the conditions of the plant having approximately linear characteristics and the observed vectors corresponding to the anticipated disturbances are linearly independent of each other.