Published February 2019 | Version v1
Journal article

Determination for 235U Enrichments of Same Geometry and Mass Uranium Components by BP Neural Network

  • 1. School of National Defense Science and Technology, Southwest University of Science and Technology, Mianyang (China)
  • 2. Institute of Electronic Engineering, China Academy of Engineering Physics, Mianyang (China)
  • 3. Nuclear Power Institute of China, Chengdu (China)

Description

To identify metal uranium components with same geometry and mass but different enrichments, 252Cf source noise analysis was used to gain the neutron time correlation coincidence measurement. Based on the analysis and processing of neutron time correlation coincidence measurement, the characteristic parameters are determined. Through the method of BP neural network, we determined the 235U enrichments of same geometry and mass but different enrichments uranium components. Result shows that by the method of BP neural network, we can diagnose the 235U enrichments effectively. (authors)

Additional details

Identifiers

Publishing Information

Journal Title
Nuclear Power Engineering
Journal Volume
40
Journal Issue
1
Journal Page Range
p. 48-50
ISSN
0258-0926

Optional Information

Notes
2 figs., 2 tabs., 7 refs.; http://dx.doi.org/10.13832/j.jnpe.2019.01.0048