Abstract
A new approach has been suggested to revealing acoustic-emission data-flow discords that are related to the formation and growth of flaws. The discords were discovered using a statistical criterion and the Caterpillar SSA principal components method. The approach has proved its consistency when tested on realistic acoustic-emission data-flow models.
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Original Russian Text © V.A. Barat, D.V. Chernov, S.V. Elizarov, 2016, published in Defektoskopiya, 2016, No. 6, pp. 60–70.
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Barat, V.A., Chernov, D.V. & Elizarov, S.V. Discovering data flow discords for enhancing noise immunity of acoustic-emission testing. Russ J Nondestruct Test 52, 347–356 (2016). https://doi.org/10.1134/S1061830916060024
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DOI: https://doi.org/10.1134/S1061830916060024