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  5. Bayesian maintenance decision optimisation based on computing the information value from condition inspections
 
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Bayesian maintenance decision optimisation based on computing the information value from condition inspections

Author(s)
Zou, Guang  
Banisoleiman, Kian  
González, Arturo  
Uri
http://hdl.handle.net/10197/12148
Date Issued
2021-03-26
Date Available
2021-05-11T15:14:55Z
Abstract
A challenge in marine and offshore engineering is structural integrity management (SIM) of assets such as ships, offshore structures, mooring systems, etc. Due to harsh marine environments, fatigue cracking and corrosion present persistent threats to structural integrity. SIM for such assets is complicated because of a very large number of rewelded plates and joints, for which condition inspections and maintenance are difficult and expensive tasks. Marine SIM needs to take into account uncertainty in material properties, loading characteristics, fatigue models, detection capacities of inspection methods, etc. Optimising inspection and maintenance strategies under uncertainty is therefore vital for effective SIM and cost reductions. This paper proposes a value of information (VoI) computation and Bayesian decision optimisation (BDO) approach to optimal maintenance planning of typical fatigue-prone structural systems under uncertainty. It is shown that the approach can yield optimal maintenance strategies reliably in various maintenance decision making problems or contexts, which are characterized by different cost ratios. It is also shown that there are decision making contexts where inspection information doesn’t add value, and condition based maintenance (CBM) is not cost-effective. The CBM strategy is optimal only in the decision making contexts where VoI > 0. The proposed approach overcomes the limitation of CBM strategy and highlights the importance of VoI computation (to confirm VoI > 0) before adopting inspections and CBM.
Sponsorship
European Commission Horizon 2020
Type of Material
Journal Article
Publisher
SAGE
Journal
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
Volume
235
Issue
4
Start Page
545
End Page
555
Copyright (Published Version)
2021 SAGE
Subjects

Value of information

Bayesian decision opt...

Maintenance optimizat...

Risk analysis

Life cycle assessment...

DOI
10.1177/1748006X20978127
Language
English
Status of Item
Peer reviewed
ISSN
1748-006X
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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Zou_etal_2021_Bayesian Maintenance Decision Optimization based on Computing the Information Value from Condition Inspections.pdf

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Owning collection
Civil Engineering Research Collection
Mapped collections
Critical Infrastructure Group Research Collection•
Earth Institute Research Collection•
TRUSS-ITN Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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