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Discovering data flow discords for enhancing noise immunity of acoustic-emission testing

  • Acoustic-Emission Methods
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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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Authors and Affiliations

  1. OOO INTERYUNIS-IT, Moscow, 107045, Russia

    V. A. Barat, D. V. Chernov & S. V. Elizarov

Authors
  1. V. A. Barat
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  2. D. V. Chernov
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  3. S. V. Elizarov
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Corresponding author

Correspondence to V. A. Barat.

Additional information

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

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