Abstract: Due to the noise disturbance from surrounding equipments and environment in gear fault diagnosis based on acoustic signal analysis, a novel method combined with independent component analysis and auto-correlation was proposed. Independent component analysis was used to separate characteristic signal and interference signal. And then auto-correlation was used to extract the periodic component of characteristic signal. Experimental results indicate that the proposed approach could reduce strong background noise and extract fault feature form gear acoustic signal.