An immune fault detection system for analog circuits with automatic detector generation

This work focuses on fault detection of electronic analog circuits. A fault detection system for analog circuits based on cross-correlation and artificial immune systems is proposed. It is capable of detecting faulty components in analog circuits by analyzing its impulse response. The use of cross-correlation for preprocessing the impulse response drastically reduces the size of the detector used by the Real-valued Negative Selection Algorithm (RNSA). The proposed method can automatically generate very efficient detectors by using quadtree decomposition. Results have demonstrated that the proposed system is able to detect faults in a Sallen-Key bandpass filter and in a continuous-time state variable filter.