| 一种基于神经网络的模拟电路故障诊断方法 |
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| 引用本文： | 喻捷,严太山,曾凡勇.一种基于神经网络的模拟电路故障诊断方法[J].电子技术,2014(11):71-73. |
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| 作者姓名： | 喻捷 严太山 曾凡勇 |
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| 作者单位： | 1. 湖南理工学院 信息与通信工程学院
2. 湖南理工学院 信息与通信工程学院; 湖南理工学院 复杂系统优化与控制湖南省普通高等学校重点实验室，湖南 岳阳 |
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| 基金项目： | 湖南省高校科技创新团队支持计划(湘教通[2012]318号)资助项目。 |
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| 摘 要： | 模拟电路故障诊断一直是一项富有挑战性的研究课题。文章在简要介绍BP神经网络基本原理的基础上,以差分放大电路为例,设计并实现了基于BP算法的模拟电路故障诊断方法,建立了模拟电路故障诊断BP神经网络模型。实验表明,该模型的辨识精度高,能实现对模拟电路故障的正确诊断。
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| 关 键 词： | 模拟电路 故障诊断 神经网络 BP算法 |
An Analog Circuit Fault Diagnosis Method Based on Neural Network |
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| Yu Jie,Yan Taishan,Zen Fanyong.An Analog Circuit Fault Diagnosis Method Based on Neural Network[J].Electronic Technology,2014(11):71-73. |
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| Authors: | Yu Jie Yan Taishan Zen Fanyong |
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| Affiliation: | Yu Jie,Yan Taishan,Zen Fanyong ( 1. School of Information and Communication Engineering, Hunan Institute of Science and Technology 2. Key Lab. of Optimization and Control for Complex Systems, College of Hunan Province, Yueyang, Hunan) |
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| Abstract: | Fault diagnosis in analog circuits has been a challenging research topic. In this paper, on the basis of a brief introduction of the basic principle of BP neural network, taking the differential amplifier circuit as an example, we design and realize a simulation circuit fault diagnosis method based on BP algorithm. As a result a BP neural network model for analog circuit fault diagnosis is established. Experiments show that this model＇s analysis accuracy is high, and the model can provide a correct diagnosis for analog circuit fault. |
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| Keywords: | analog circuit fault diagnosis neural network BP algorithm |
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