DocumentCode
3475631
Title
The Explicit Hazard Model- part 2: Applications
Author
Gorjian, Nima ; Mittinty, Murthy ; Ma, Lin ; Yarlagadda, Prasad ; Sun, Yong
Author_Institution
Cooperative Res. Centre for Integrated Eng. Asset Manage. (CIEAM), Brisbane, QLD, Australia
fYear
2010
fDate
12-14 Jan. 2010
Firstpage
1
Lastpage
7
Abstract
Hazard and reliability prediction of an engineering asset is one of the significant fields of research in engineering asset health management (EAHM). In real-life situations where an engineering asset operates under dynamic operational and environmental conditions, the lifetime of an engineering asset can be influenced and/or indicated by different factors that are termed as covariates. The explicit hazard model (EHM) as a covariate-based hazard model is a new approach for hazard prediction which explicitly incorporates both internal and external covariates into one model. EHM is an appropriate model to use in the analysis of lifetime data in presence of both internal and external covariates in the reliability field. This paper presents applications of the methodology which is introduced and illustrated in the theory part of this study. In this paper, the semi-parametric EHM is applied to a case study so as to predict the hazard and reliability of resistance elements on a resistance corrosion sensor board (RCSB).
Keywords
condition monitoring; covariance analysis; environmental factors; hazards; reliability; covariate-based hazard model; dynamic operational condition; engineering asset health management; environmental condition; explicit hazard model; hazard prediction; lifetime data analysis; reliability prediction; resistance corrosion sensor board; resistance element; Aging; Asset management; Atmospheric modeling; Australia; Corrosion; Data analysis; Degradation; Hazards; Predictive models; Reliability engineering;
fLanguage
English
Publisher
ieee
Conference_Titel
Prognostics and Health Management Conference, 2010. PHM '10.
Conference_Location
Macao
Print_ISBN
978-1-4244-4756-5
Electronic_ISBN
978-1-4244-4758-9
Type
conf
DOI
10.1109/PHM.2010.5413493
Filename
5413493
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