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In order to solve the problem that Fourier transform cannot detect both full view and local feature in time domain and the problem of the action of penalty parameter and kernel function parameter of support vector machine selection.put forward a method of fault diagnosis of bearing based on wavelet packet and GA-SVM.First,Collect vibration signal of fault bearing and normal under various conditions and extract the characteristics which are typical in time domain and wavelet packet domain as the input of GA-SVM input.Then,on the basis of SVM,using the genetic algorithm to optimize the parameter of GA-SVM as the parameters of SVM are hard to put forward..The experimental results show that the fault diagnosis method based on wavelet packet and GA-SVM has higher recognition accuracy than SVM and BP.