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基于神经网络的模拟电路故障诊断法
NEURAL NETWORKS BASED ON THE ANALOG CIRCUIT FAULT DIAGNOSIS
【摘要】 基于反传神经网络,本文提出了一种模拟电路故障诊断的新方法。这一方法较好地解决了单一硬故障字典法在计算机内存和速度要求以及处理容差和噪声方面存在的问题,为模拟电路的故障诊断在线应用提供了一种新的可行途径。
【Abstract】 Based on the BP neural networks,this paper presents a new approach for the analog circuit fault diagnosis,which can overcome a set of difficulties,such as the existing prob- lems in storage,timeconsuming in computing a single hard fault dectionary as well as the treatment of tolerance and noize.Due to those improvements,especially the reduction of computing time the new approach can be used on line.
【关键词】 故障诊断;
模糊集;
模拟电路;
反传神经网络;
【Key words】 fault diagnosis; ambiguity set; analog circuit; BP neural network;
【Key words】 fault diagnosis; ambiguity set; analog circuit; BP neural network;
- 【文献出处】 现代电力 ,Modern Electric Power , 编辑部邮箱 ,1993年04期
- 【被引频次】2
- 【下载频次】64