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。
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 result has been achieved using the fused data compared with either individual data source.
出处
《信息与电子工程》
2011年第2期215-218,223,共5页
information and electronic engineering
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
Printed Circuit Board
non-intrusive fault diagnosis
Artificial Immune System
information fusion
