The wavelet package was applied to decompose vibration signals of a gearbox to get the fault feature vectors. The feature vectors were employed as the input samples to train an improved BP neural network, and then the running s tate classifier of the gearbox fault was set up. The experimental results show t hat the proposed method is effective for gearbox fault diagnosis.