Dual-Tree Complex Wavelet Analysis and Its Application in Defect Detection of Workpiece for Cross Wedge Rolling
Aiming to miss-detection of internal tiny flaw of workpiece for cross wedge rolling, it is proposed a new ultrasonic signal testing method based on dual-tree complex wavelet transform (DT-CWT). By constructing new dual-tree complex wavelet bases, and by taking advantage of near shift-invariance of DT-CWT, it can improve common wavelet analysis methods for ultrasonic signal testing based on real orthogonal discrete wavelet transform. Experiments indicate that the method can extract weak defect feature and its results demonstrate the validity of the proposed method.
DT-CWT ultrasonic test cross wedge rolling flaw
Zhixin Chen Chenglin Wang Zhenghuan Hu Shikun Xie
Beijing Area Logistics System & Technology MajorLaboratory, Beijing Wuzi UniversityBeijing, China School of Mechanical EngineeringUniversity of Science and Technology BeijingBeijing, China School of Engineering, Jinggangshan University Jian, Jiangxi, China
国际会议
成都
英文
1-4
2010-08-20(万方平台首次上网日期,不代表论文的发表时间)