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《Journal of Test and Measurement Technology》 2019-03
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Acoustic Emission Signal Processing Technology Based on Wavelet Packet Energy Spectrum

SHI Huiyang;LI Haiyang;WANG Zhaoba;PAN Qianghua;School of Information and Communication Engineering,North University of China;China special Equipment and Research Institute;  
In order to realize the monitoring and evaluation of fatigue damage degree of early material structures,an acoustic emission signal processing method based on wavelet packet energy spectrum is proposed.Firstly,an on-line acoustic emission monitoring system for metal fatigue damage is established to collect acoustic emission signals of crack propagation and closure caused by early structural fatigue damage of metal materials.Secondly,the wavelet function and wavelet packet decomposition layers suitable for the AE signal are selected.Finally,the wavelet packets energy spectrum of each frequency band after wavelet packet decomposition with the increase of fatigue cycle number are obtained.Experimental results show that the above signal processing method can obtain the frequency band characteristics that can characterize the early structural fatigue damage degree of metallic materials with the increase of fatigue cycle number.It provides reference basis for acoustic emission monitoring of steel fatigue process commonly used in bridge structure and construction engineering structural components and aggravation of early fatigue damage degree.
【Fund】: 国家自然科学基金资助项目(11604304);; 山西省重点研发计划资助项目(201603D121006-1)
【CateGory Index】: TN911.7
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【Citations】
Chinese Journal Full-text Database 1 Hits
1 Wu Yanjun ;Zhao Yan ; Lu Weixue(Department of Life Science and medical Engineering, Zhejiang University, HangZbou 310027);Wavelet packet decomposition and its parametric model[J];应用声学;1998-03
【Co-citations】
Chinese Journal Full-text Database 3 Hits
1 WANG Kai-yan;ZHOU Yan;Geoscience College of Northeast University of Petroleum Institute;;The Application of Wavelet Packet Transform Technique to Identify Thin Interbedded Reservoirs[J];科学技术与工程;2014-26
2 Li Jianbao,Peng Tao(School of Electrical and Information Engineering,Hunan University of Technology Zhuzhou,412008,China);Intelligent Fault Diagnosis of Rolling Bearing Based on Wavelet Packet Autoregressive Model[J];振动.测试与诊断;2012-02
3 ZHANG Hai-yong,LI Kan (Dalian Naval Academy,Dalian 116018,China);Analytical Methods for the Non-Stationary Random Signals Based on Parametric Models[J];系统工程与电子技术;2003-03
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