Segmentation and Statistical Processing of Geometric and Spatial Data on Self-Organized Surface Relief of Statically Deformed Aluminum Alloy

Abstract:

The methods of segmentation and statistical processing of the data on the relief formation on the self-organized surface of the statically deformed alloy D16chT are used. This allowed determining the signal parameters, segment structure and morphological peculiarities of self-organization as the data of the cyclic random process model. The mathematical methods are proposed, which allow increasing the accuracy, reliability and informative value of the profilometric data processing in diagnostic systems of control of the surface condition.

• Periodical: Applied Mechanics and Materials (Volume 770)
• Pages: 288-293
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.770.288
• Online since: June 2015
• Authors: Iaroslav Lytvynenko, Pavlo Maruschak, Sergiy Lupenko, Sergey Panin
• Keywords: Cyclic Random Process, Deformation, Model, Ordered Structure, Segmentation

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