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

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 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.