摘要
随着电子技术的飞速发展,各类装备设备的集成化程度越来越高,由于系统构成的复杂性和操作环境的多样性,装备设备电路故障的复杂性、模糊性给维修保障带来极大挑战,针对装备设备中的模拟电路故障诊断问题,提出了一种基于信息融合和神经网络的模拟电路故障诊断方法;分析证明该方法可提高模拟电路故障诊断效率,有效提高模拟电路智能化诊断水平。
Along with the Development of electricity technology, equipment＇s integration have been growing. Because of the complexity of system and diversity of operating environment, equipment＇s complexity and fuzzy have been making big trouble for maintenance work, the paper study a fault diagnosis method of analog circuit based on information fusion and Neural Network, in order to settle the trouble of analog circuit in equipment. Finally, the paper analyses the method and prove that it is a useful one.
出处
《计算机测量与控制》
CSCD
北大核心
2012年第4期887-889,892,共4页
Computer Measurement &Control
关键词
信息融合
神经网络
模拟电路
故障诊断
information fusion
neural networks analog circuit
fault diagnosis
