Development of the technique of clustering by acoustic emission signal parameters

The technique of clustering by a set of parameters of acoustic emission (AE) signals, which allows reducing the time of processing of the recorded data, is considered. A comparative analysis of the stability of three clustering techniques (by shape, leading edge rise rate, and a set of AE signal par...

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Bibliographic Details
Published in:Russian journal of nondestructive testing 2010-02, Vol.46 (2), p.137-146
Main Authors: Stepanova, L. N., Kanifadin, K. V., Ramazanov, I. S., Kabanov, S. I.
Format: Article
Language:English
Subjects:
Acoustic emission
Acoustic Methods
Aluminum base alloys
Characterization and Evaluation of Materials
Chemistry and Materials Science
Clustering
Duralumin
Fracture mechanics
Leading edges
Materials Science
Nondestructive testing
Stability
Steels
Structural Materials
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Summary:The technique of clustering by a set of parameters of acoustic emission (AE) signals, which allows reducing the time of processing of the recorded data, is considered. A comparative analysis of the stability of three clustering techniques (by shape, leading edge rise rate, and a set of AE signal parameters) with respect to the effect of random noise distributed according to a normal law is performed. A possibility of using the considered clustering techniques for distinguishing different stages of duralumin specimen fractures and during welding of steel specimens is experimentally demonstrated.
ISSN:1061-8309
1608-3385
DOI:10.1134/S1061830910020087