The AE Identification Methods to Welding Defect by Wavelet Analysis

Abstract:

In the engineering applications area, welding defect is a major hidden danger of structure security. the bending failure process of welded specimens is detected by using AE technique and the data samples of typical welding defect source are collected, and by using wavelet technique the typical AE datas acquired through experiment are analyzed, characteristic information of the typical acoustic emission source such as electromagnetic noise, plastic deformation, micro-crack initiation, crack unsteady expansion and fracture, etc are extracted. A serial acoustic emission source identification methods based on the energy spectrum coefficients of wavelet are established and which can realize accurately distinguishing of different acoustic emission sources, so as to provide a theoretical basis to detect equipment welding defects by acoustic emission technology dynamic in engineering practice.

• Periodical: Applied Mechanics and Materials (Volumes 63-64)
• Pages: 355-360
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.63-64.355
• Online since: June 2011
• Authors: Yan Tao Dou, Xiao Li Xu, Xiao Jun Cai, Guo Xin Wu, Zhi Xiang Sun
• Keywords: Acoustic Emission (AE), Wavelet Analysis, Welding Defect

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