Published November 2011 | Version v1
Journal article

Environmental γ dose rate model based on support vector machine

  • 1. Shanghai Jiaotong University (China)
  • 2. No.240 Research Institute of Nuclear Industry, Shenyang (China)
  • 3. Qinshan Nuclear Power Company Limited of China National Nuclear Corporation, Haiyan (China)

Description

The environment radiation monitoring system in nuclear power plant continuously monitors γ dose rate. If the dose rate exceeds a predetermined threshold, the system will issue a warning. However, the radon and thorium daughters effects and the system noise and their periodic changes will result in fake alarm. In order to study these factors, a support vector machine model was established to classify the reasons of threshold exceeding. The model was tested by more than 2000 groups of historical data. The results show that it can accurately classify the reasons, and the accuracy rate is more than 98%. (authors)

Additional details

Publishing Information

Journal Title
Atomic Energy Science and Technology
Journal Volume
45
Journal Issue
11
Journal Page Range
p. 1393-1398
ISSN
1000-6931

Optional Information

Notes
3 figs., 4 tabs., 9 refs.