On Dependencies in Value of Information Analysis for Structural Integrity Management

Kashif Ali; Jianjun Qin; John Dalsgaard Sørensen; Michael Havbro Faber

doi:10.1201/9780429426506-355

On Dependencies in Value of Information Analysis for Structural Integrity Management

Kashif Ali, Jianjun Qin, John Dalsgaard Sørensen, Michael Havbro Faber

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

1 Citationer (Scopus)

Abstract

The concept of Value of Information (VoI) analysis in the context of Structural Integrity Management (SIM) has been gaining significant interest in the engineering research community over the last decade. A key issue in the modelling and analysis of VoI in SIM concerns the probabilistic representation of the information collected through SIM. This information is generally modelled through what is referred to as indicators, i.e. observable states of the structure of relevance in the context of structural integrity management. In the present paper, we formulate two types of modelling approaches to assess the importance of dependency and bias in inspection results. Moreover the effect of dependencies and biases associated with inspections over time is quantified in terms of the VoI they facilitate. The effects of dependencies and biases are illustrated through a simple case study considering a pressure vessel in an oil production facility subject to degradation.

Originalsprog	Engelsk
Titel	Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications : Proceedings of the 7th International Conference on Structural Engineering, Mechanics and Computation (SEMC 2019), September 2-4, 2019, Cape Town, South Africa
Redaktører	Alphose Zingoni
Antal sider	5
Forlag	CRC Press
Publikationsdato	2019
ISBN (Elektronisk)	9780429426506
DOI	https://doi.org/10.1201/9780429426506-355
Status	Udgivet - 2019
Begivenhed	The Seventh International Conference on Structural Engineering, Mechanics and Computation - Cape Town, Sydafrika Varighed: 2 sep. 2019 → 4 sep. 2019 Konferencens nummer: 7 http://www.semc.uct.ac.za/

Konference

Konference	The Seventh International Conference on Structural Engineering, Mechanics and Computation
Nummer	7
Land/Område	Sydafrika
By	Cape Town
Periode	02/09/2019 → 04/09/2019
Internetadresse	http://www.semc.uct.ac.za/

Emneord

Inspection bias
Value of information
Bias modeling
Inspection measurement quality

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10.1201/9780429426506-355

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Citationsformater

Ali, K., Qin, J., Sørensen, J. D., & Faber, M. H. (2019). On Dependencies in Value of Information Analysis for Structural Integrity Management. I A. Zingoni (red.), Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications: Proceedings of the 7th International Conference on Structural Engineering, Mechanics and Computation (SEMC 2019), September 2-4, 2019, Cape Town, South Africa CRC Press. https://doi.org/10.1201/9780429426506-355

Ali, Kashif ; Qin, Jianjun ; Sørensen, John Dalsgaard et al. / On Dependencies in Value of Information Analysis for Structural Integrity Management. Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications: Proceedings of the 7th International Conference on Structural Engineering, Mechanics and Computation (SEMC 2019), September 2-4, 2019, Cape Town, South Africa. red. / Alphose Zingoni. CRC Press, 2019.

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title = "On Dependencies in Value of Information Analysis for Structural Integrity Management",

abstract = "The concept of Value of Information (VoI) analysis in the context of Structural Integrity Management (SIM) has been gaining significant interest in the engineering research community over the last decade. A key issue in the modelling and analysis of VoI in SIM concerns the probabilistic representation of the information collected through SIM. This information is generally modelled through what is referred to as indicators, i.e. observable states of the structure of relevance in the context of structural integrity management. In the present paper, we formulate two types of modelling approaches to assess the importance of dependency and bias in inspection results. Moreover the effect of dependencies and biases associated with inspections over time is quantified in terms of the VoI they facilitate. The effects of dependencies and biases are illustrated through a simple case study considering a pressure vessel in an oil production facility subject to degradation.",

keywords = "Inspection bias, Value of information, Bias modeling, Inspection measurement quality, Inspection bias, Value of information, Bias modeling, Inspection measurement quality",

author = "Kashif Ali and Jianjun Qin and S{\o}rensen, {John Dalsgaard} and Faber, {Michael Havbro}",

year = "2019",

doi = "10.1201/9780429426506-355",

language = "English",

editor = "Alphose Zingoni",

booktitle = "Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications",

publisher = "CRC Press",

note = "The Seventh International Conference on Structural Engineering, Mechanics and Computation, SEMC 2019 ; Conference date: 02-09-2019 Through 04-09-2019",

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Ali, K, Qin, J, Sørensen, JD & Faber, MH 2019, On Dependencies in Value of Information Analysis for Structural Integrity Management. i A Zingoni (red.), Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications: Proceedings of the 7th International Conference on Structural Engineering, Mechanics and Computation (SEMC 2019), September 2-4, 2019, Cape Town, South Africa. CRC Press, The Seventh International Conference on Structural Engineering, Mechanics and Computation, Cape Town, Sydafrika, 02/09/2019. https://doi.org/10.1201/9780429426506-355

On Dependencies in Value of Information Analysis for Structural Integrity Management. / Ali, Kashif; Qin, Jianjun; Sørensen, John Dalsgaard et al.
Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications: Proceedings of the 7th International Conference on Structural Engineering, Mechanics and Computation (SEMC 2019), September 2-4, 2019, Cape Town, South Africa. red. / Alphose Zingoni. CRC Press, 2019.

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - On Dependencies in Value of Information Analysis for Structural Integrity Management

AU - Ali, Kashif

AU - Qin, Jianjun

AU - Sørensen, John Dalsgaard

AU - Faber, Michael Havbro

N1 - Conference code: 7

PY - 2019

Y1 - 2019

N2 - The concept of Value of Information (VoI) analysis in the context of Structural Integrity Management (SIM) has been gaining significant interest in the engineering research community over the last decade. A key issue in the modelling and analysis of VoI in SIM concerns the probabilistic representation of the information collected through SIM. This information is generally modelled through what is referred to as indicators, i.e. observable states of the structure of relevance in the context of structural integrity management. In the present paper, we formulate two types of modelling approaches to assess the importance of dependency and bias in inspection results. Moreover the effect of dependencies and biases associated with inspections over time is quantified in terms of the VoI they facilitate. The effects of dependencies and biases are illustrated through a simple case study considering a pressure vessel in an oil production facility subject to degradation.

AB - The concept of Value of Information (VoI) analysis in the context of Structural Integrity Management (SIM) has been gaining significant interest in the engineering research community over the last decade. A key issue in the modelling and analysis of VoI in SIM concerns the probabilistic representation of the information collected through SIM. This information is generally modelled through what is referred to as indicators, i.e. observable states of the structure of relevance in the context of structural integrity management. In the present paper, we formulate two types of modelling approaches to assess the importance of dependency and bias in inspection results. Moreover the effect of dependencies and biases associated with inspections over time is quantified in terms of the VoI they facilitate. The effects of dependencies and biases are illustrated through a simple case study considering a pressure vessel in an oil production facility subject to degradation.

KW - Inspection bias

KW - Value of information

KW - Bias modeling

KW - Inspection measurement quality

KW - Inspection bias

KW - Value of information

KW - Bias modeling

KW - Inspection measurement quality

U2 - 10.1201/9780429426506-355

DO - 10.1201/9780429426506-355

M3 - Article in proceeding

BT - Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications

A2 - Zingoni, Alphose

PB - CRC Press

T2 - The Seventh International Conference on Structural Engineering, Mechanics and Computation

Y2 - 2 September 2019 through 4 September 2019

ER -

Ali K, Qin J, Sørensen JD , Faber MH. On Dependencies in Value of Information Analysis for Structural Integrity Management. I Zingoni A, red., Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications: Proceedings of the 7th International Conference on Structural Engineering, Mechanics and Computation (SEMC 2019), September 2-4, 2019, Cape Town, South Africa. CRC Press. 2019 doi: 10.1201/9780429426506-355

On Dependencies in Value of Information Analysis for Structural Integrity Management

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