声发射信号特征分析中的小波变换应用方法
Analysis of Acoustic Emission Signal Features Based on Wavelet Transform
摘 要
对声发射信号进行分析与处理是目前获取声发射源信息的唯一有效途径，也是声发射技术发展的难点和瓶颈。针对声发射信号的特点，对小波变换用于声发射信号的特征分析问题进行了研究，总结出了适用于声发射信号的小波变换信号特征提取方法，并对未来小波变换在声发射领域的应用与研究方向进行了探讨。
小波变换
特征提取
信号处理
Acoustic emission(AE)
Wavelet transform
Feature extraction
Signal processing
Abstract
Acoustic emission signal processing is the only effective method to acquire the acoustic emission source information by now and is also the bottleneck that affects its positive development. According to the characteristic of acoustic emission signal, a wavelet-based method of signal feature analysis was presented. The developing tendency of the application of wavelet transform in acoustic emission was discussed finally.
中图分类号 TG115.28
所属栏目 综述
基金项目 国家质检总局科技计划资助项目(2009QK149)
收稿日期 2012/9/14
修改稿日期
网络出版日期
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备注庆光蔚(1985-)，女，博士生，主要研究方向为电梯、起重机械检验检测技术。
引用该论文: QING Guang-Wei,YUE Lin,FENG Yue-Gui,WANG Hui-Fang. Analysis of Acoustic Emission Signal Features Based on Wavelet Transform[J]. Nondestructive Testing, 2012, 34(11): 48～51
庆光蔚,岳林,冯月贵,王会方. 声发射信号特征分析中的小波变换应用方法[J]. 无损检测, 2012, 34(11): 48～51
被引情况:
【1】李建忠,刘国奇,陈振华,金焓,欧利江, "基于小波包分解的不锈钢焊缝超声TOFD检测信号及缺陷信号提取",无损检测 37, 38-41(2015)
【2】蒋林林,韩文礼,徐忠苹,王志涛,苏碧煌, "储罐底板声发射在线检测技术的研究现状",腐蚀与防护 37, 375-380(2016)
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参考文献
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【2】王海丽，张广鹏，翁德玮，等.刀具破损状态的特征提取及自动识别［J］.制造技术与机床,2001(12):23-25.
【3】沈功田，耿荣生，刘时风.声发射信号的参数分析方法［J］.无损检测,2002,24(2):72-77.
【4】耿荣生，沈功田，刘时风.声发射信号处理和分析技术［J］.无损检测,2002,24(1):23-28.
【5】Sung D U, Kim C G, Hong C S. Monitorin of impact damage in composite laminates using wavelet transform［J］. Composites Part B: Engineering,2002,33(1):35-44.
【6】Jeong H, Jang Y S. Fracture source location in thin plates using the wavelet transform of disperse waves［J］. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control,2000,47(3):612-619.
【7】Qi G. Wavelet-based acoustic emission analusis of composites［D］. Texas Tech University,1996.
【8】崔岩，李小仰，彭华新. 基于声发射小波分析的非连续增强金属基复合材料界面表征［J］.科学通报,1998,43(6):656-657.
【9】Ni QQ, Iwamoto M. Wavelet transform of acoustic emission signals in failure of model composites［J］. Engineering Fracture Mechanics,2002,69:717-728.
【10】Chen C, Kovacevic R, Jandgric D. Wavelet transform analysis of acoustic emission in monitoring friction stir welding of 6061 aluminum［J］. International Journal of Machine Tools & Manufacture,2003,43:1383-1390.
【11】Jeong H, Jang YS. Wavelet analysis of plate wave propagation in composite laminates［J］. Composite Structures,2000,49:443-450.
【12】Yang Li, Zhou Yi-Chun. Wavelet analysis of acoustic emission signals from thermal barrier coatings［J］. Trans. Nonferrous Met. Soc,2002,16:270-275.
【13】Ng E T, Qi G. Material fatigue behavior characterization using the wavelet-based AE technique-a case study of acrylic bone cement［J］. Engineering Fracture Mechanics,2001,68:1477-1492.
【14】Qi G, Barhorst A, Hashemiet J. Discrete wavelet decomposition of acoustic emission signals from carbon-fiber-reinforce composites［J］. Composites Science and Technology,1997,57:389-403.
【15】Wang Q, Chu F. Experimental determination of the rubbing location by means of acoustic emission and wavelet transform［J］. Journal of Sound and Vibration,2001,248(1):91-103.
【16】Liao Warren, Tian Chi-Fen, Qu J, et al. A wavelet-based methodology for grinding wheel condition monitoring［J］. International Journal of Machine Tools & Manufacture,2007,47:580-592.
【17】何建平，王宁.基于小波变换的岩体AE波形特征研究［J］.工矿自动化,2007,4:14-18.
【18】金解放，赵奎，王晓军.岩石声发射信号处理小波基选择的研究［J］.矿业研究与开发,2007,27(2):12-16.
【19】Jaideva C. Goswami.小波分析理论、算法及其应用［M］.许天周，黄春光，译.北京：国防工业出版社,2007.
【20】李冬生，胡倩，李惠，等.多龄期桥梁斜拉索疲劳损伤演化声发射监测技术研究［J］.振动与冲击,2012,31(4):67-71.
【21】李录平，邹新元，唐月清.小波变换在声发射信号特征参数检测中的应用［J］.振动与冲击,2001,20(2):67-68.
【22】王希，肖毅，龚廷凯，等.干切削过程刀具磨损、破损监测与分析［J］.机械科学与技术,2009,28(3):350-355.
【23】龚廷恺，王细洋.基于声发射信号的高速铣削过程监测技术［J］.航空制造技术,2009(7):80-83.
【24】谢剑峰.铣刀切入切出阶段声发射信号特征的研究［J］.制造技术与机床,2011(9):94-97.
【25】Yang K O, Chan J Y. Source location in plate by using wavelet transform of AE signals［C］. 14th International AE Symposium & 5th AE World Meeting. Hawaii,1998:9-14.
【26】Sweldens W. The lifting scheme: a construction of second generation wavelets［J］. SIAM Journal on Mathematical Analysis,1998,29(2):511-546.
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