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Aiming at the problem that the fault signal of the draft fiber gear winding is difficult to extract, the feature extraction method based on image texture information is proposed. By wavelet packet bispectrum analysis of the vibration signal of the gearbox, the bispectrum of the vibration signal with stable texture information is obtained. The image fusion based on wavelet transform is used to improve the integrated texture features of the image. The weighted fusion feature extraction of the bispectrum of the vibration signal is performed by using four characteristic parameters of the gray level co-occurrence matrix. The common gear damage and crack of gearbox are analyzed in the short wire production line. The results show that the fault identification rate of this method is more than 85%.