ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Explore membership for yourself or for your organization.
Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
Latest Magazine Issues
Apr 2026
Jan 2026
Latest Journal Issues
Nuclear Science and Engineering
June 2026
Nuclear Technology
April 2026
Fusion Science and Technology
May 2026
Latest News
IAEA looks at nuclear techniques for crop resilience
The International Atomic Energy Agency has launched a five-year coordinated research project (CRP) to strengthen plant health preparedness using nuclear and related technologies.
Wheat blast, potato late blight, potato bacterial wilt, and cassava witches broom disease can spread quickly across large areas of land, leading to severe yield losses in key crops for food security. Global trade and climate change have increased the likelihood of rapid, transboundary spread.
Kohyu Fukunishi, Satoshi Suzuki
Nuclear Technology | Volume 78 | Number 2 | August 1987 | Pages 132-139
Technical Paper | Fission Reactor | doi.org/10.13182/NT87-A33991
Articles are hosted by Taylor and Francis Online.
A method for real-time stability monitoring is developed for supervising the steady-state operation of a boiling water reactor core. The decay ratio of the reactor power fluctuation is determined by measuring only the output neutron noise. The concept of an inverse system is introduced to identify the dynamic characteristics of the reactor core. The adoption of an adaptive digital filter is useful in real-time identification. A feasibility test that used measured output noise as an indication of reactor power suggests that this method is useful in a real-time stability monitoring system. Using this method, the tedious and difficult work for modeling reactor core dynamics can be reduced. The method employs a simple algorithm that eliminates the need for stochastic computation, thus making the method suitable for real-time computation with a simple microprocessor. In addition, there is no need to disturb the reactor core during operation. Real-time stability monitoring using the proposed algorithm may allow operation under less stable margins.