Application of Gamma process for deterioration prediction of buildings from discrete condition data

Edirisinghe, R, Setunge, S and Zhang, G 2011, 'Application of Gamma process for deterioration prediction of buildings from discrete condition data', Sri Lankan Journal of Applied Statistics, vol. 12, pp. 13-26.


Document type: Journal Article
Collection: Journal Articles

Title Application of Gamma process for deterioration prediction of buildings from discrete condition data
Author(s) Edirisinghe, R
Setunge, S
Zhang, G
Year 2011
Journal name Sri Lankan Journal of Applied Statistics
Volume number 12
Start page 13
End page 26
Total pages 14
Publisher Institute of Applied Statistics
Abstract Deterioration prediction of Civil Infrastructure from discrete condition data is a challenge faced by many asset managers developing effective maintenance and renewal strategies. Due to high variability of data, often, deterministic methods are not readily applicable. Some of the reliability based methods adopted are time dependent reliability analysis, Markov process and more recently Gammas process. Whilst such models have been developed for assets with smaller number components, such as bridges and storm water pipes, for complex systems such as buildings reliability based methods are less common.
Subject Infrastructure Engineering and Asset Management
Keyword(s) Deterioration prediction
Gamma process
building management
DOI - identifier 10.4038/sljastats.v12i0.4965
Copyright notice © 2011 by the author(s)
ISSN 1391-4987
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