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Criticality measures for components with multi-dimensional degradation
- Source :
- IIE Transactions. 46:987-998
- Publication Year :
- 2014
- Publisher :
- Informa UK Limited, 2014.
-
Abstract
- Failures of engineering structures and equipment are often attributed to the failure of a single component. Hence, it is important to identify critical components in a system and understand how a component's criticality changes over time under dynamic environments. This article investigates the criticality analysis for components with multiple competing failure modes due to degradation. The component degradation is modeled as a k-dimensional Wiener process. A component fails when any of the k degradation processes associated with that component attains a certain threshold level. Motivated by Nelson's cumulative exposure model, a relationship between both the mean and diffusion of the degradation process and environmental conditions is established. Expressions of a component's criticality measures are derived. Numerical examples are presented to illustrate the criticality analysis. NPRP 09-774-2-297 from the Qatar National Research Fund. Scopus
- Subjects :
- Engineering
business.industry
Criticality matrix
Component criticality
importance measures
dynamic environments
Industrial and Manufacturing Engineering
Reliability engineering
symbols.namesake
Failure mode, effects, and criticality analysis
Criticality
Wiener process
Component (UML)
symbols
Brownian motion
Diffusion (business)
business
degradation
Degradation (telecommunications)
Subjects
Details
- ISSN :
- 15458830 and 0740817X
- Volume :
- 46
- Database :
- OpenAIRE
- Journal :
- IIE Transactions
- Accession number :
- edsair.doi.dedup.....cefdd02bae54891a9adb6db971c1aa88
- Full Text :
- https://doi.org/10.1080/0740817x.2013.851433