Email this article Discovering data flow discords for enhancing noise immunity of acoustic-emission testing
- Authors: Barat V.A.1, Chernov D.V.1, Elizarov S.V.1
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Affiliations:
- OOO INTERYUNIS-IT
- Issue: Vol 52, No 6 (2016)
- Pages: 347-356
- Section: Acoustic-Emission Methods
- URL: https://journals.rcsi.science/1061-8309/article/view/181154
- DOI: https://doi.org/10.1134/S1061830916060024
- ID: 181154
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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.
About the authors
V. A. Barat
OOO INTERYUNIS-IT
Author for correspondence.
Email: baratva@interunis.ru
Russian Federation, Moscow, 107045
D. V. Chernov
OOO INTERYUNIS-IT
Email: baratva@interunis.ru
Russian Federation, Moscow, 107045
S. V. Elizarov
OOO INTERYUNIS-IT
Email: baratva@interunis.ru
Russian Federation, Moscow, 107045
