Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Harbin Institute of Technology》 2011-10
Add to Favorite Get Latest Update

De-nosing of acoustic emission signals based on empirical mode decomposition and wavelet transform

YU Jin-tao1,2,ZHAO Shu-yan1,WANG Qi1(1.Department of Automatic Measurement and Control,Harbin Institute of Technology,150001 Harbin,China; 2.School of Computer and Information Engineering,Harbin University of Commerce,150028 Harbin,China)  
To solve the acoustic emission(AE) signal de-noising problem,de-noising approaches based on empirical mode decomposition and wavelet transform were proposed,including IMF-Wavelet method,EMD-Wavelet method and Wavelet-EMD method.The standard noise signals and AE signals by pencil lead break were used to analyze the de-noising performance.The simulation results indicate that for the standard noise signals,Wavelet-EMD method has stable de-noising performance whether in high or low signal to noise ratio(SNR) case.Wavelet threshold method is not suitable for AE signal de-noising,EMD-Wavelet and Wavelet-EMD method have stable de-noising performance for AE signals.
【Fund】: 国家自然科学基金资助项目(60901042);; 黑龙江省自然科学基金资助项目(F201018)
【CateGory Index】: TN911.4
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved