Chun-li Xie

Research of Nuclear Power Plants Diagnosis Method Based on Data Fusion

Data fusion is a method which suits for complex system fault diagnosis such as nuclear power plants, and is multi-source information processing technology. In this paper, the data fusion information hierarchical thinking used and the nuclear power plants fault diagnosis divided into three levels. In data level data mining method adopted to handle data and reduction attributes. In feature level three parallel neural networks used to deal with attributes reduction of data level and the outputs of three networks are as the basic probability assignment of Dempster-Shafer (D-S) evidence theory. The improved D-S evidence theory synthesizes the outputs of neural networks in decision level, which conquers the traditional D-S evidence theory limitation that cannot dispose conflict information. The diagnosis method is tested through using correlation data of document. The test results indicate that the data fusion diagnosis system can diagnose nuclear power plants faults accurately and the method which has a certain applicable value in use.Copyright

A fast simulation method for radiation maps using interpolation in a virtual environment

In nuclear decommissioning, virtual simulation technology is a useful tool to achieve an effective work process by using virtual environments to represent the physical and logical scheme of a real decommissioning project. This technology is cost-saving and time-saving, with the capacity to develop various decommissioning scenarios and reduce the risk of retrofitting. The method utilises a radiation map in a virtual simulation as the basis for the assessment of exposure to a virtual human. In this paper, we propose a fast simulation method using a known radiation source. The method has a unique advantage over point kernel and Monte Carlo methods because it generates the radiation map using interpolation in a virtual environment. The simulation of the radiation map including the calculation and the visualisation were realised using UNITY and MATLAB. The feasibility of the proposed method was tested on a hypothetical case and the results obtained are discussed in this paper.