Application of change-point analysis to the selection of representative data in creep experiments
- 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.
| Author: | Setareh ZomorodpooshORCiDGND, Nicklas VolzGND, Steffen NeumeierGND, Irina RoslyakovaORCiDGND |
|---|---|
| URN: | urn:nbn:de:hbz:294-78641 |
| DOI: | https://doi.org/10.1088/2399-6528/aba7ff |
| Parent Title (English): | Journal of physics communications |
| Publisher: | IOP Publishing Ltd |
| Place of publication: | Bristol |
| Document Type: | Article |
| Language: | English |
| Date of Publication (online): | 2021/02/12 |
| Date of first Publication: | 2020/07/29 |
| Publishing Institution: | Ruhr-Universität Bochum, Universitätsbibliothek |
| Tag: | Open Access Fonds automated data selection; change-point analysis; creep; non-stationary time series |
| Volume: | 4 |
| Issue: | 7 |
| First Page: | 075024-1 |
| Last Page: | 075024-11 |
| Note: | Article Processing Charge funded by the Deutsche Forschungsgemeinschaft (DFG) and the Open Access Publication Fund of Ruhr-Universität Bochum. |
| Institutes/Facilities: | Interdisciplinary Centre for Advanced Materials Simulation (ICAMS) |
| Dewey Decimal Classification: | Technik, Medizin, angewandte Wissenschaften / Ingenieurwissenschaften, Maschinenbau |
| open_access (DINI-Set): | open_access |
| Licence (English): |  Creative Commons - CC BY 4.0 - Attribution 4.0 International |
