Based on the Bayesian Theory Correlation Vector Machine (RVM) sparse probability model,this paper proposes an intelligent detection technology for aero engine faults with the support of genetic algorithm.This technology constructs a fault knowledge graph,designs a fault model,and uses genetic algorithm for optimal training.Compared with other conventional anomaly detection technologies,this intelligent detection technology shows high accuracy and short detection time,which can effectively improve the fault detection efficiency,especially for aero engine multi-fault detection.
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