| 基于BP网络信息融合技术的电路板故障诊断 |
| Fault Diagnosis of Circuit Board Based on BP Network Information Fusion Technology |
| 投稿时间：2005-09-15 修订日期：2005-11-08 |
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| 中文摘要: |
| 对基于BP神经网络的信息融合故障诊断技术进行了研究,将信息融合技术应用到某型反舰导弹俯仰综合放大器电路板的故障诊断中,并利用改进的BP神经网络进行数据融合,得到了较为理想的结果.研究表明,该方法能够较好地解决电路板元件故障诊断的不确定性问题. |
| 英文摘要: |
| In this paper,the fault diagnosis technology based on back-propagation neural network information fusion is investigated.The technology of information fusion is used in the anti-ship missile's pitch synthetic amplifier circuit board fault diagnosis and a new improved BP neural network algorithm is used in data fusion,Finally the experimental results show the good performance.It is shown that the uncertainty of circuit board component fault diagnosis can be solved fairly from the fusion result. |
| 周绍磊 张文广 张晨亮 |
| [1]海军航空工程学院控制工程系,山东烟台264001 [2]海军航空工程学院电子工程系,山东烟台264001 |
| 中文关键词: BP神经网络 信息融合 故障诊断 电路板 |
| 英文关键词:back-propagation neural network information fusion fault diagnosis circuit board |
| 基金项目: |
| DOI： |
| 引用本文：周绍磊,张文广,张晨亮.基于BP网络信息融合技术的电路板故障诊断[J].计测技术,2006,26(3):20~23. |
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