Local fault diagnosis of turbine rotor was conducted by fault diagnosis method using evidence theory with hybrid algorithm

combined with ant colony algorithm-neural network model

and the results were considered as the evidence.Then the evidence theory was employed to fuse the evidences and calculate their basic trustable assignment function

so as to determine the fault and its type.Imbalance fault in x

y direction on the turbine rotor was diagnosed.Results show that

this method can efficiently enhance the reliability and decrease the uncertainty of the diagnosis.