Fault Diagnosis for Gas Turbine Blade Based on ABC-RVM Algorithm

In this paper, a fault diagnosis scheme for gas turbine blade is developed. The proposed system is based on the artificial bee colony algorithm optimize relevance vector machine (ABC-RVM) to accomplish this goal. First the characteristics extraction was researched, then Then ABC-RVM is used for the intelligent fault diagnosis and health warning provides scientific theory and effective method for the fault diagnosis.