Abstract
| 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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Towards proper sampling and statistical analysis of defects. / Cetin, A (Corresponding author); Roiko, Andrew; Mina, L.
Proceedings: MATEC Web of Conferences. Vol. 12 EDP Sciences, 2014. 02001.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
TY - GEN
T1 - Towards proper sampling and statistical analysis of defects
AU - Cetin, A
AU - Roiko, Andrew
AU - Mina, L
PY - 2014
Y1 - 2014
N2 - 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
AB - 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
U2 - 10.1051/matecconf/20141202001
DO - 10.1051/matecconf/20141202001
M3 - Conference article in proceedings
SN - 978-275981274-5
VL - 12
BT - Proceedings
PB - EDP Sciences
ER -