An embedded automatic SBT diagnosis system for analog circuits

In this paper the realization of an automatic fault diagnosis system assembled by using inexpensive components is suggested The system implements a Simulation Before Test fault diagnosis method based on sensitivity inspection and an artificial neural network classifier to detect and localize the presence of faults. The method can be successfully applied both to linear and non-linear analog circuits.