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

V. A. Barat; D. V. Chernov; S. V. Elizarov

doi:10.1134/S1061830916060024

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

作者: Barat V.A.¹, Chernov D.V.¹, Elizarov S.V.¹
隶属关系:
1. OOO INTERYUNIS-IT
期: 卷 52, 编号 6 (2016)
页面: 347-356
栏目: 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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详细

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.