Application of change-point analysis to the selection of representative data in creep experiments
Zomorodpoosh S, Volz N, Neumeier S, Roslyakova I (2020)
Publication Type: Journal article
Publication year: 2020
Journal
Book Volume: 4
Pages Range: 1-11
Article Number: 075024
Journal Issue: 7
Abstract
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.
Authors with CRIS profile
Nicklas Volz
Lehrstuhl für Werkstoffwissenschaften (Allgemeine Werkstoffeigenschaften)
Steffen Neumeier
Lehrstuhl für Werkstoffwissenschaften (Allgemeine Werkstoffeigenschaften)
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Involved external institutions
Germany (DE)How to cite
APA:
Zomorodpoosh, S., Volz, N., Neumeier, S., & Roslyakova, I. (2020). Application of change-point analysis to the selection of representative data in creep experiments. Journal of Physics Communications, 4(7), 1-11. https://doi.org/10.1088/2399-6528/aba7ff
MLA:
Zomorodpoosh, Setareh, et al. "Application of change-point analysis to the selection of representative data in creep experiments." Journal of Physics Communications 4.7 (2020): 1-11.
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