Fault Detection in Analog Circuit Using Neural Network

Many studies have been presented for the fault diagnosis of electronic analog circuits. The fault detection using neural network is more efficient than other technique because it has good robustness , strong learning ability and adaptability . neural network need to feed data For initializing the training of neural network.There are the inputs-outputs specified to the neural network. The data for the training and testing set is collected from the Simulator and the transient response of the circuit is used for this purpose.The training inputs corresponding to the fault free circuit include effects due to Component tolerance within specified limits and for faulty circuits , obtain by Injecting hard and soft faults to the circuit.