An Immune Fault Detection System with Automatic Detector Generation by Genetic Algorithms

This work deals with 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 makes use of genetic algorithms to automatically generate a small number of very efficient detectors. Results have demonstrated that the proposed system is able to detect faults in a Sallen-Key bandpass filter and in a universal filter.