Research on Fault Diagnosis of Mixed-Signal Circuits Based on Genetic Algorithms

As the fault modes of mixed-signal circuits growing, aiming at the features for its signal are both analog and digital amount, the paper analyzed that the fault diagnosis program of mixed-signal circuits with genetic algorithms by using SABER simulation method to inject faults and data collection based on a brief discussion of basic principles and operation of genetic algorithms, focused on consideration for the fitness functions of genetic algorithms, and then selected an optimization genetic algorithm to a specific airborne DC converter circuit´s fault diagnosis, verifying the effectiveness of the method, provided a new diagnostic method for mixed-signal circuits.