Design of Neural Network Output Layer in Fault Diagnosis of Analog Circuit

摘要：

In this paper, we have developed a new way to design the output layer of neural network in fault diagnosis of analog circuit. The primary focus of our method is to simplify the network architecture while offering the value information of faulty component. A comparison of our work with reference 8 indicates that our work ensures a robust and fast fault diagnosis in analog circuit including effects due to tolerances. The concepts of our work can be extended to detect multiple faulty components.

关键词： Neural network output layer fault diagnosis analog circuit

作者: Qu Haini Xu Weisheng Yu Youling

作者单位: School of Electronics and Information Engineering,Tongji University,Shanghai,201804,China

会议类型: 国际会议

会议名称: 第八届国际电子测量与仪器学术会议(Proceedings of 2007 8th International Conference on Electronic Measurement & Instruments)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-08-16（万方平台首次上网日期，不代表论文的发表时间）