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《Chinese Journal of Mechanical Engineering》 2008-03
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Wavelet Function Suitable for Fault Feature Extraction of Acoustic Emission Signal

LI Xuejun~(1,2) LIAO Chuanjun~1 CHU Fulei~2 1.Key Laboratory of Health Maintenance for Mechanical Equipment of Hunan Province,Hunan Science and Technology University,Xiangtan 411201; 2.Department of Precision Instruments and Mechanology,Tsinghua University,Beijing 100084  
It is pointed that wavelet analysis has powerful ability for weak signal detection,which helps it to be used for detection and fault diagnosis of acoustic emission signals well.However,in wavelet analysis of fault acoustic emission(AE) signals nowadays,the diagnosis results using the general wavelet functions are not the best,and some new wavelet functions need to be created at once.By analyzing the characteristics of typical AE signals initiated by mechanical faults or damages,and according to the extracting principle of fault characters of AE signals and the construction method of continuous wavelet function,a wavelet function is designed.When applying the function and Daubechies wavelet for fault diagnosis of rolling bearings based on AE technique at the same time,the results using the former are more clear,accurate and reliable.Both theory analysis and experiment research prove that the wavelet function is scientific and effective.
【Fund】: 国家自然科学基金(50675066);; 湖南省科技计划(2007FJ3025)资助项目。
【CateGory Index】: TH165.3
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【References】
Chinese Journal Full-text Database 1 Hits
1 Xiao Siwen1,Liao Chuanjun1,Li Xuejun1,2(1. Key Lab of Health Maintenance for Mechanical Equipment of Hunan Province,Hunan Science and Technology University,Xiangtan,Hunan 411201,China; 2. Department of Precision Instruments,Tsinghua University,Beijing 100084,China);Applications of Wigner high-order spectra in feature extraction of acoustic emission signals[J];中国工程科学(英文版);2009-03
【Citations】
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Chinese Journal Full-text Database 2 Hits
1 Li Zhinong He Yongyong Chu Fulei (Department of Precision Instruments and Mechanology, Tsinghua University, Beijing 100084);MACfflNE FAULT DIAGNOSTICS BASED ON WIGNER-VILLE HIGH-ORDER SPECTRA[J];Chinese Journal of Mechanical Engineering;2005-04
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