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。
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 showthe good performance. It is shown that the uncertainty of circuit board component fault diagnosis can be solved fairly from the fusion result.
出处
《计测技术》
2006年第3期20-23,共4页
Metrology & Measurement Technology
关键词
BP神经网络
信息融合
故障诊断
电路板
back-propagation neural network
information fusion
fault diagnosis
circuit board
