Application of change-point analysis to the selection of representative data in creep experiments | Zendy

Setareh Zomorodpoosh | Zendy; Nicklas Volz | Zendy; Steffen Neumeier | Zendy; Irina Roslyakova | Zendy

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Application of change-point analysis to the selection of representative data in creep experiments

Author(s) -

Setareh Zomorodpoosh,

Nicklas Volz,

Steffen Neumeier,

Irina Roslyakova

Publication year - 2020

Publication title -

journal of physics communications

Language(s) - English

Resource type - Journals

ISSN - 2399-6528

DOI - 10.1088/2399-6528/aba7ff

Subject(s) - creep , computer science , selection (genetic algorithm) , experimental data , data analysis , point (geometry) , statistical analysis , sample (material) , data mining , data point , volume (thermodynamics) , statistics , artificial intelligence , mathematics , materials science , physics , geometry , chemistry , chromatography , quantum mechanics , composite material

The high volume of data resulting from a rapidly increasing number of experiments in materials science necessitates an efficient preparing of the data before any analysis. In addition, due to the large datasets in some experiments, it is essential to reduce the data sample to a small number of representative data points. In this study, three statistical methods for the change-point analysis are tested for the automated selection of representative creep data which provides large possibilities to speed up the data preparation for their further analysis. Moreover, this approach aids the practitioner to produce consistent and unique representative data for each experiment more efficiently.

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