| 支持向量机在模拟电路故障诊断中应用 |
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| 引用本文： | 孙永奎,陈光.支持向量机在模拟电路故障诊断中应用[J].电子测量与仪器学报,2008,22(2):72-75. |
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| 作者姓名： | 孙永奎 陈光 |
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| 作者单位： | 1. 电子科技大学自动化工程学院,成都,610054
2. 电子科技大学空天科学技术研究院,成都,610054 |
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| 基金项目： | 国家自然科学基金，高等学校博士学科点专项科研项目 |
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| 摘 要： | 支持向量机是建立在统计学习理论基础上的机器学习方法,结构简单,泛化能力强,对小样本分类具有良好的识别效果.本文提出了基于支持向量机的模拟电路故障诊断新方法,描述了电路故障特征的选取过程,建立了以支持向量机为基础的模拟电路故障诊断模型.并以双二次滤波电路为诊断实例,实验结果表明,该方法故障诊断准确率大于96.5%,优于传统方法.
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| 关 键 词： | 模拟电路 支持向量机 故障诊断 |
| 修稿时间： | 2007年3月1日 |
Support Vector Machine for Analog Circuit Fault Diagnosis |
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| Sun Yongkui,Chen Guangju,Li Hui.Support Vector Machine for Analog Circuit Fault Diagnosis[J].Journal of Electronic Measurement and Instrument,2008,22(2):72-75. |
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| Authors: | Sun Yongkui Chen Guangju Li Hui |
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| Affiliation: | Sun Yongkui1 Chen Guangju1 Li Hui2(1.School of Automation Engineering,University of Electronic Science , Technology of China,Chengdu 610054,China,2.Institute of Astronautics , Aeronautics,Chengdu 10054,China) |
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| Abstract: | Support vector machine(SVM) is a machine-learning algorithm based on statistical theory,which has the advantages of simple structure and strong generalization ability as well as classification ability for small sample.A new method for analog circuit fault diagnosis based on SVM is presented in this paper.The method for extracting the fault signatures of the circuit under test is proposed and the analog circuit fault diagnosis model based on SVM is established.The simulation results of a biquadratic filter t... |
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| Keywords: | analog circuit support vector machine fault diagnosis |
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