Spatio-temporal modelling of corrosion in an industrial furnace

Little, J. and Goldstein, M. and Jonathan, P. and Den Heijer, K. (2004) Spatio-temporal modelling of corrosion in an industrial furnace. Applied Stochastic Models in Business and Industry, 20 (3). pp. 219-238. ISSN 1524-1904

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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.

Item Type:
Journal Article
Journal or Publication Title:
Applied Stochastic Models in Business and Industry
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1400/1400
Subjects:
?? correlationcorrosiondlminspectionsimulationspatio-temporalcomputational methodsindustrial furnacesrisksstatistical methodscorrosion ratedynamic linear model (dlm)spatio-temporal modelingtime series modelgeneral business,management and accountingmodelling ??
ID Code:
133098
Deposited By:
Deposited On:
22 Apr 2019 11:05
Refereed?:
Yes
Published?:
Published
Last Modified:
16 Jul 2024 11:07