Abstract:
Recurrence plots (RPs) and recurrence quantification analysis (RQA) characteristics for the normal component of the displacement vector upon excitation of a defect steel plate by a sound pulse are analyzed. Different cases of spatial distribution of defects (uniform and normal) are considered, and a difference in the RQA parameters in these cases is revealed.
Citation:
V. L. Gilyarov, “Detection of the fracture zone by the method of recurrence plot”, Fizika Tverdogo Tela, 59:12 (2017), 2377–2381; Phys. Solid State, 59:12 (2017), 2401–2406
\Bibitem{Gil17}
\by V.~L.~Gilyarov
\paper Detection of the fracture zone by the method of recurrence plot
\jour Fizika Tverdogo Tela
\yr 2017
\vol 59
\issue 12
\pages 2377--2381
\mathnet{http://mi.mathnet.ru/ftt9361}
\crossref{https://doi.org/10.21883/FTT.2017.12.45234.180}
\elib{https://elibrary.ru/item.asp?id=30685641}
\transl
\jour Phys. Solid State
\yr 2017
\vol 59
\issue 12
\pages 2401--2406
\crossref{https://doi.org/10.1134/S1063783417120162}
Linking options:
https://www.mathnet.ru/eng/ftt9361
https://www.mathnet.ru/eng/ftt/v59/i12/p2377
This publication is cited in the following 3 articles:
Yan Li, Zhan Li, Sivakumar Pandian, “Research on Recurrence Plot Feature Quantization Method Based on Image Texture Analysis”, Journal of Environmental and Public Health, 2022 (2022), 1
Dong Yang, Wei-Xin Ren, Yi-Ding Hu, “Non-stationary assessment of structural operational measurements using recurrence quantification analysis”, Measurement, 171 (2021), 108791
Junsong Yu, Dakai Liang, “Impact localization system of composite structure based on recurrence quantification analysis by using FBG sensors”, Optical Fiber Technology, 49 (2019), 7