Abstract
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.
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Original Russian Text © L.N. Stepanova, K.V. Kanifadin, I.S. Ramazanov, S.I. Kabanov, 2010, published in Defektoskopiya, 2010, Vol. 46, No. 2, pp. 78–89.
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Stepanova, L.N., Kanifadin, K.V., Ramazanov, I.S. et al. Development of the technique of clustering by acoustic emission signal parameters. Russ J Nondestruct Test 46, 137–146 (2010). https://doi.org/10.1134/S1061830910020087
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DOI: https://doi.org/10.1134/S1061830910020087