Optimization of test signals for analog circuits

In this paper the optimization of test signals for integrated analog circuits by means of a genetic algorithm is considered. The test signal generation problem is formulated as an optimization problem, where through minimization of specific objective function a fault detection criterion for the tested circuit is maximized. The simulation results show that the use of optimized test signals leads to considerable increasing of the detected faults number.