Application of Fuzzy Immune Algorithm in Fault Diagnosis for Circuits

Abstract

Based on the theory of fuzzy mathematics and the features of analog circuits fault diagnosis, the fuzzy immune algorithm for fault diagnosis is proposed, which overcomes the shortcomings of low quality of detectors in immune algorithms. The novel algorithm uses the particle filter to guide the mutation of antibodies and combines artificial immune with particle filter algorithm to optimize the learning process of the immune algorithm. Finally, it can increase the diversity of the mature detector populations. The feasibility and validity of the algorithm are validated by simulation of fault diagnosis on analog circuit.