| 基于人工免疫的PCB电路信息融合故障诊断 |
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| 引用本文： | 郭朝有,欧阳光耀,李雁飞.基于人工免疫的PCB电路信息融合故障诊断[J].太赫兹科学与电子信息学报,2011,9(2):215-218. |
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| 作者姓名： | 郭朝有 欧阳光耀 李雁飞 |
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| 作者单位： | 海军工程大学,船舶与动力学院,湖北,武汉,430033 |
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| 摘 要： | 印制电路板(PCB)非介入式故障诊断方法,因获取信息有限,存在故障覆盖率低、定位不准等问题。多源信息融合能综合各类信息以提高电路诊断效果。文章提出采用人工免疫网络(AIS)作为信息融合技术的融合算法,实现PCB电路非介入式故障诊断。该方法以电路支路电流信息和节点电压信息为信息源,运用人工免疫系统实现基于特征层信息融合的印制电路板非介入式故障诊断。某实装电流转电压电路故障诊断仿真实验表明:基于多源信息融合的非介入式故障诊断可提高电路故障的覆盖率和定位的准确性。
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| 关 键 词： | 印制电路板 非介入式故障诊断 人工免疫系统 信息融合 |
| 收稿时间： | 2010/6/29 0:00:00 |
| 修稿时间： | 2010/9/8 0:00:00 |
Non-intrusive information fusion fault diagnosis of printed circuit board
based on artificial immune system |
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| GUO Chao-you,OUYANG Guang-yao and LI Yan-fei.Non-intrusive information fusion fault diagnosis of printed circuit board
based on artificial immune system[J].Journal of Terahertz Science and Electronic Information Technology,2011,9(2):215-218. |
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| Authors: | GUO Chao-you OUYANG Guang-yao and LI Yan-fei |
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| Institution: | GUO Chao-you,OUYANG Guang-yao,LI Yan-fei (College of Naval Architecture and Power,Naval University of Engineering,Wuhan Hubei 430033,China) |
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| Abstract: | The non-intrusive fault diagnosis of Printed Circuit Board(PCB) based on information fusion is presented in this paper to improve the fault coverage of the non-intrusive fault diagnosis.The method based on the Artificial Immune System(AIS) algorithm integrates a comprehensive information for PCB taking the circuit branch current information and node voltage information as the data.The fault diagnosis result of the pitch control board's current-transfer-voltage circuit shows that better fault recognition res... |
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| Keywords: | Printed Circuit Board non-intrusive fault diagnosis Artificial Immune System information fusion |
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