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《Journal of University of Science and Technology Beijing》 2008-04
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Method of gear fault diagnosis based on acoustic signal analysis

YANG Debin,YANG Juxing,YANG Jianhong,ZHANG LijunSchool of Mechanical Engineering,University of Science and Technology Beijing,Beijing 100083,China  
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.
【Fund】: 北京市自然科学基金资助项目(No.3062012)
【CateGory Index】: TH132.41
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【Co-citations】
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