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Confidence of Detection of Fracture Signals Using Acoustic Emission

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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.

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Periodical:

Applied Mechanics and Materials (Volumes 7-8)

Pages:

147-152

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.7-8.147

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Cite this paper

Online since:

August 2007

Authors:

Rhys Pullin, Karen M. Holford, S.L. Evans

Keywords:

Acoustic Emission (AE), Confidence Of Detection, Fracture Detection

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© 2007 Trans Tech Publications Ltd. All Rights Reserved

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