Towards proper sampling and statistical analysis of defects

Ali Cetin*, Andrew Roiko, Minna Lind

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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 languageEnglish
Title of host publicationFDMD II - JIP 2014 - Fatigue Design and Material Defects
PublisherEDP SCIENCES
Volume12
ISBN (Print)9782759812745
DOIs
Publication statusPublished - 2014
MoE publication typeA4 Article in a conference publication
EventFatigue Design and Material Defects - Paris, France
Duration: 11 Jun 201413 Jun 2014

Publication series

NameMATEC Web of Conferences
ISSN (Print)2261-236X

Conference

ConferenceFatigue Design and Material Defects
Abbreviated titleFDMD II - JIP
CountryFrance
CityParis
Period11/06/201413/06/2014

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    Cetin, A., Roiko, A., & Lind, M. (2014). Towards proper sampling and statistical analysis of defects. In FDMD II - JIP 2014 - Fatigue Design and Material Defects (Vol. 12). [02001] (MATEC Web of Conferences). EDP SCIENCES. https://doi.org/10.1051/matecconf/20141202001