Application of immune clustering algorithm to analog circuit fault diagnosis

As a new type of pattern recognition method, the immune clustering algorithm is successfully applied to deal with analog circuit fault diagnosis problem. Firstly, exact the fault characteristics of the circuit based on principal component analysis method. Then, calculate the clustering center as the antibody of each circuit status based on clone selection algorithm, which is so-called immunological tolerance. Lastly, regarding the testing sample as antigen, estimate the circuit status through antigen-antibody discrimination. The results show that this fault diagnosis method has high fault-coverage rate, and is easy to realize.