Towards proper sampling and statistical analysis of defects

A Cetin; Andrew Roiko; L Mina

doi:10.1051/matecconf/20141202001

Towards proper sampling and statistical analysis of defects

A Cetin (Corresponding author), Andrew Roiko, L Mina

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-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 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	https://doi.org/10.1051/matecconf/20141202001
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

Access to Document

10.1051/matecconf/20141202001

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title = "Towards proper sampling and statistical analysis of defects",

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",

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AU - Roiko, Andrew

AU - Mina, L

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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

T2 - Fatigue Design and Material Defects, FDMD II - JIP 2014

Y2 - 11 June 2014 through 13 June 2014

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