Research on Multiple Source Data Fusion Method

Li Hongwei; Liu Zhaodong; Min Yuansheng; He Liang; Liu Liu; Zhao Wentao

doi:10.13832/j.jnpe.2018.03.0001

Volume 39 Issue 3

Jul. 2018

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Li Hongwei, Liu Zhaodong, Min Yuansheng, He Liang, Liu Liu, Zhao Wentao. Research on Multiple Source Data Fusion Method[J]. Nuclear Power Engineering, 2018, 39(3): 77-80. doi: 10.13832/j.jnpe.2018.03.0001

Citation:

Li Hongwei, Liu Zhaodong, Min Yuansheng, He Liang, Liu Liu, Zhao Wentao. Research on Multiple Source Data Fusion Method[J]. Nuclear Power Engineering, 2018, 39(3): 77-80. doi: 10.13832/j.jnpe.2018.03.0001

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Research on Multiple Source Data Fusion Method

doi: 10.13832/j.jnpe.2018.03.0001

1.
Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, Chengdu, 610213, China
2. Reactor Operation and Application Research Sub-Institute, Nuclear Power Institute of China, Chengdu, 610213, China

Received Date: 2017-08-10
Rev Recd Date: 2018-04-18
Publish Date: 2018-07-20

Abstract

Abstract

This paper selects the data fusion method which is easy to realize in the engineering application, and takes the deviation of the data and the real value of the data as the stability criterion of the data fusion method, and carries out the simulation test of the data fusion of the three redundancy and multiple source data. The test results show that the weighted least square method is used in the data fusion. The performance is stable, which can replace the commonly used moment estimation fusion and median fusion, and improve the accuracy of the fused data.
- Data fusion,
- Moment estimation,
- Fuzzy relation,
- Weighted least square