Research on Analog circuit fault diagnosis of MFCS based on BP neural network information fusion technology

被引：0
|
作者：
Zhou Li-jun [1 ]
Zhang Jie [1 ]
Zhao Yuan [1 ]
机构：
[1] Naval Aeronaut & Astronaut Univ, Yantai, Peoples R China
来源：
PROCEEDINGS 2013 INTERNATIONAL CONFERENCE ON MECHATRONIC SCIENCES, ELECTRIC ENGINEERING AND COMPUTER (MEC) | 2013年
关键词：
BP neural network; information fusion; fault diagnosis; analogous circuit;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, we researched on the technology of fault diagnosis based on BP network information fusion, and applied the information fusion technology to the diagnosis of some MFCS's comparative amplifier board. We further studied on the improvement of BP network information fusion, and acquired perfect result. The research indicates that the method can resolve the problem of uncertainty fault in analogous circuit board.
引用
收藏
页码：483 / 486
页数：4
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