Abstract
Advancements in applied statistics with great relevance
to defect sampling and analysis are presented. Three main
issues are considered; (i) proper handling of multiple
defect types, (ii) relating sample data originating from
polished inspection surfaces (2D) to finite material
volumes (3D), and (iii) application of advanced extreme
value theory in statistical analysis of block maximum
data. Original and rigorous, but practical mathematical
solutions are presented. Finally, these methods are
applied to make prediction regarding defect sizes in a
steel alloy containing multiple defect types
| Original language | English |
|---|---|
| Title of host publication | Proceedings |
| Subtitle of host publication | MATEC Web of Conferences |
| Publisher | EDP Sciences |
| Volume | 12 |
| ISBN (Print) | 978-275981274-5 |
| DOIs | |
| Publication status | Published - 2014 |
| MoE publication type | A4 Article in a conference publication |
| Event | Fatigue Design and Material Defects, FDMD II - JIP 2014 - Paris, France Duration: 11 Jun 2014 → 13 Jun 2014 |
Conference
| Conference | Fatigue Design and Material Defects, FDMD II - JIP 2014 |
|---|---|
| Abbreviated title | FDMD II - JIP 2014 |
| Country | France |
| City | Paris |
| Period | 11/06/14 → 13/06/14 |
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Cite this
Cetin, A., Roiko, A., & Mina, L. (2014). Towards proper sampling and statistical analysis of defects. In Proceedings: MATEC Web of Conferences (Vol. 12). [02001] EDP Sciences. https://doi.org/10.1051/matecconf/20141202001