基于神经网络的模拟电路故障诊断方法浅析

THE RESEARCH ON THE FAULT DIAGNOSIS IN ANALOG CIRCUITS BASED ON NEURAL NETWORKS

自20世纪60年代以来,模拟电路故障诊断一直是研究的热点之一。随着集成电路的快速发展,为了提高产品性能、降低芯片面积和费用,需将数字和模拟元件集成在同一块芯片上。虽然模拟部分仅占芯片面积的5%,但其故障诊断成本却占总诊断成本的95%。模拟电路故障诊断一直是集成电路工业中的一个"瓶颈"问题。基于此,本文笔者介绍了模拟电路故障诊断的方法、种类等,并重点介绍了讨论神经网络的模拟电路故障诊断实现的各个步骤。

After the 1960s,analog circuits are the most important part in the investigation. With the fast developing of IC,in order to improve product s capability,reduce chip s area and expense,we should integrate digital and analog component into one chip. From the statistic number we can learn that there are 95 percent fault resulted from analog circuit,though only 5 percent of chip’ s area. Fault diagnosis of analog circuit always a difficult problem on IC industry. In this article the author recommend the measur...