| 基于改进BP神经网络的模拟电路故障诊断研究 |
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| 引用本文： | 张锐,杨宣访.基于改进BP神经网络的模拟电路故障诊断研究[J].兵工自动化,2009,28(9):71-73. |
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| 作者姓名： | 张锐 杨宣访 |
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| 作者单位： | 海军工程大学,电气与信息工程学院,湖北,武汉,430033 |
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| 基金项目： | 国家自然科学基金资助 |
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| 摘 要： | 根据BP神经网络特点，提出对BP神经网络改进的方法，并以某负反馈放大器为例，采用改进后的BP网络进行故障诊断，步骤包括：故障特征向量提取、原始数据归一化处理、BP网络设计与训练。结果表明，在MATLAB7．1中运用神经网络工具箱中函数进行仿真，能有效进行故障识别、改善神经网络结构、提高故障诊断精度和速度。
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| 关 键 词： | 故障诊断 模拟电路 神经网络 |
Research of Analog Circuit Fault Diagnosis Based on Modified BP Neural Network |
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| ZHANG Rui,YANG Xuan-fang.Research of Analog Circuit Fault Diagnosis Based on Modified BP Neural Network[J].Ordnance Industry Automation,2009,28(9):71-73. |
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| Authors: | ZHANG Rui YANG Xuan-fang |
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| Affiliation: | (School of Electric ＆ Information Engineering, Navy University of Engineering, Wuhan 430033, China) |
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| Abstract: | Put forward an improved method for BP neural network relying on its character, and taking a certain negative of feedback amplifier as an example, using improved BP network progress fault diagnosis, and the steps includes： fault feature vector extracting, original data normalization dealing, BP network design and training. Result showed that it can detect fault diagnosis, improve network structure and increase fault diagnosis precision and velocity using function of neural network toolbox in MATLAB7.1 simulation. |
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| Keywords: | Fault diagnosis Analog circuit Neural network |
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