Research on Application of Embedded System Based on Neural Network in Analog Circuit Fault Diagnosis

被引：0
|
作者：
Wang, Tao [1 ]
Sun, Wen [2 ]
机构：
[1] Xianning Vocat Tech Coll, Xianning, Hubei, Peoples R China
[2] Tellhow Polytron Technol Inc, Taoyuan, Taiwan
来源：
PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON EDUCATION, MANAGEMENT, INFORMATION AND COMPUTER SCIENCE (ICEMC 2017) | 2017年 / 73卷
关键词：
BP neural network; Analog circuit; Fault diagnosis; Simulation analysis;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
With the rapid development of modern electronic technology, the circuit is highly integrated and large-scale, which leads to the complexity of circuit fault diagnosis. Based on this, a method put forward in this paper is to use BP neural network to diagnose the fault of analog circuits. According to the characteristics of neural network embedded system, a hard fault diagnosis system is designed and simulated. The simulation results show that the fault tolerance of analog circuits can be well recognized when the fault tolerance is about 5%.
引用
收藏
页码：709 / 713
页数：5
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