Spatio‐temporal modelling of corrosion in an industrial furnace

John Little, Michael Goldstein, Philip Jonathan and Kees den Heijer

Applied Stochastic Models in Business and Industry, 2004, vol. 20, issue 3, 219-238

Abstract: Optimal inspection and maintenance of complex systems in modern industry is important for safety and economic reasons. With appropriate statistical modelling, the utilization of inspection resources and quality of inferences can be greatly improved. Modelling and inspection of a full‐scale industrial furnace subject to corrosion will be considered. A suitable Bayesian spatio‐temporal dynamic linear model is developed for wall thickness, by eliciting the beliefs of experts and incorporating other relevant data for related systems. The model may be used to derive efficient inspection schedules for corrosion detection and we demonstrate the considerable reduction in the inspection burden which the model allows. Copyright © 2004 John Wiley & Sons, Ltd.

Date: 2004
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1002/asmb.524

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wly:apsmbi:v:20:y:2004:i:3:p:219-238

Access Statistics for this article

More articles in Applied Stochastic Models in Business and Industry from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().