Towards proper sampling and statistical analysis of defects

Ali Cetin; Andrew Roiko; Mina Lind

doi:10.1051/matecconf/20141202001

Towards proper sampling and statistical analysis of defects

Ali Cetin^*, Andrew Roiko, Mina Lind

^*Corresponding author for this work

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	FDMD II - JIP 2014 - Fatigue Design & Material Defects
Editors	J.Y. Buffière, M. Brune, F. Brunel, Y. Nadot
Place of Publication	Paris
Publisher	EDP Sciences
ISBN (Print)	978-2-7598-1274-5
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

Publication series

Series	MATEC Web of Conferences
Volume	12
ISSN	2274-7214

Conference

Conference	Fatigue Design and Material Defects, FDMD II - JIP 2014
Abbreviated title	FDMD II - JIP 2014
Country/Territory	France
City	Paris
Period	11/06/14 → 13/06/14

Access to Document

10.1051/matecconf/20141202001Licence: CC BY

Cite this

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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",

author = "Ali Cetin and Andrew Roiko and Mina Lind",

year = "2014",

doi = "10.1051/matecconf/20141202001",

language = "English",

isbn = "978-2-7598-1274-5",

series = "MATEC Web of Conferences",

publisher = "EDP Sciences",

editor = "J.Y. Buffi{\`e}re and M. Brune and F. Brunel and Y. Nadot",

booktitle = "FDMD II - JIP 2014 - Fatigue Design & Material Defects",

address = "France",

note = "Fatigue Design and Material Defects, FDMD II - JIP 2014, FDMD II - JIP 2014 ; Conference date: 11-06-2014 Through 13-06-2014",

}

Cetin, A, Roiko, A & Lind, M 2014, Towards proper sampling and statistical analysis of defects. in JY Buffière, M Brune, F Brunel & Y Nadot (eds), FDMD II - JIP 2014 - Fatigue Design & Material Defects., 02001, EDP Sciences, Paris, MATEC Web of Conferences, vol. 12, Fatigue Design and Material Defects, FDMD II - JIP 2014, Paris, France, 11/06/14. https://doi.org/10.1051/matecconf/20141202001

Towards proper sampling and statistical analysis of defects. / Cetin, Ali; Roiko, Andrew; Lind, Mina.
FDMD II - JIP 2014 - Fatigue Design & Material Defects. ed. / J.Y. Buffière; M. Brune; F. Brunel; Y. Nadot. Paris: EDP Sciences, 2014. 02001 (MATEC Web of Conferences, Vol. 12).

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, Ali

AU - Roiko, Andrew

AU - Lind, Mina

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 - 978-2-7598-1274-5

T3 - MATEC Web of Conferences

BT - FDMD II - JIP 2014 - Fatigue Design & Material Defects

A2 - Buffière, J.Y.

A2 - Brune, M.

A2 - Brunel, F.

A2 - Nadot, Y.

PB - EDP Sciences

CY - Paris

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

Y2 - 11 June 2014 through 13 June 2014

ER -

Towards proper sampling and statistical analysis of defects

Abstract

Publication series

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