Research on the Method of Aeroengine Fault Diagnosis based on Immune Genetic Algorithm

In this paper, an immune genetic algorithm based on the performance parameters of aeroengine and the adaptive, learning and memory characteristics of artificial immune system (AIS) was put forward to diagnose the fault of aeroengine. Firstly, we generate the initial detector according to the fault samples, and optimize the matching relationship to improve the representation and coverage. Then train the detector with the genetic algorithm to learn and remember the fault information. Finally, we identify the faults of aeroengine by the mature detector. The results show that the method can accurately identify the engine fault by using the parameters of the aeroengine gas path provided by Honeywell company.