Paper Title:
Confidence of Detection of Fracture Signals Using Acoustic Emission
  Abstract

This paper reports on a practical investigation into methodology confidence of detection (COD) in acoustic emission (AE) testing. The developed technique relies on a commercially available software technique called “source cluster analysis” that examines the number of detected signals over a specific area. Two factors that control cluster analysis are cluster size (the area that signals are detected within) and cluster threshold (the number of detected events required to trigger a cluster). A confidence of detection matrix was developed based on altering cluster size and cluster threshold which was then applied to a practical investigation of a four-point bend test monitored using AE. Fracture length in the specimen was monitored using a foil crack gauge. The varying sizes and thresholds of the confidence matrix were used in a cluster analysis of the recorded AE data, as the initial cluster formed in the fracture region a crack length could be identified (based on the foil crack gauge). Results showed that it was possible to detect a crack length of 0.55 mm with a very high level of confidence.

  Info
Periodical
Edited by
J. Quinta da Fonseca
Pages
147-152
DOI
10.4028/www.scientific.net/AMM.7-8.147
Citation
R. Pullin, K. M. Holford, S.L. Evans, "Confidence of Detection of Fracture Signals Using Acoustic Emission ", Applied Mechanics and Materials, Vols. 7-8, pp. 147-152, 2007
Online since
August 2007
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