Vibrant Fault Diagnosis of Hydro-turbine Generating Unit Base on Spectrum Analysis and RBF Network Method

As the complexity of vibrant reasons and the multi-fault of coupling vibration,the vibrant fault diagnosis i very difficulty.The vibrant fault diagnosis of Hydro-turbine Generating Unit is distinguished by artificial neural network based on patterns recognition at present,especially by back propagation(BP)neural network.The method of spectrum and radial basis function(RBF)network was investigated for the vibration fault diagnosis of Hydro-turbine Generating Unit Applying spectrum analysis to get the characteristics of thi signal in frequency domain for the unit,and then using them a learning samples to train the network for realizing the mapping relationship between the fault and the spectrum characteristic this method can be used for diagnosis of the unit fault efficiently.The diagnosis simulation experiments show that the proposed method can be diagnosed the faults of Hydro-turbine Generating Unit easily and efficiently.