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Conference Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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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Powering the future: How the DOE is fueling nuclear fuel cycle research and development
As global interest in nuclear energy surges, the United States must remain at the forefront of research and development to ensure national energy security, advance nuclear technologies, and promote international cooperation on safety and nonproliferation. A crucial step in achieving this is analyzing how funding and resources are allocated to better understand how to direct future research and development. The Department of Energy has spearheaded this effort by funding hundreds of research projects across the country through the Nuclear Energy University Program (NEUP). This initiative has empowered dozens of universities to collaborate toward a nuclear-friendly future.
Yakov Ben-Haim
Nuclear Science and Engineering | Volume 85 | Number 2 | October 1983 | Pages 156-166
Technical Paper | doi.org/10.13182/NSE83-A27423
Articles are hosted by Taylor and Francis Online.
Automatic control of routine plant operation is receiving increasing attention as a valuable tool for improving plant performance. A crucial aspect of automatic control is the capability to manage malfunctions. Among the tasks involved is the isolation (identification) of the malfunctioning apparatus. An algorithm for malfunction isolation in linear stochastic systems is developed. It is shown that a single linear filter is adequate for isolating a wide range of malfunctions. Most importantly, no knowledge about the nature of the malfunction is required to construct the filter, other than that the linearity of the dynamics and the measurements be preserved (complete or “hard” sensor failures are included). It is shown that the performance of the algorithm improves with the number of state variables that are directly measured. Numerical application to a simple nuclear plant model is presented.