Paper Title:
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.

  Info
Periodical
Edited by
Helen Zhang and David Jin
Pages
355-360
DOI
10.4028/www.scientific.net/AMM.63-64.355
Citation
Y. T. Dou, X. L. Xu, X. J. Cai, G. X. Wu, Z. X. Sun, "The AE Identification Methods to Welding Defect by Wavelet Analysis", Applied Mechanics and Materials, Vols. 63-64, pp. 355-360, 2011
Online since
June 2011
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$32.00
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