Modeling Failure Risks in Load-Sharing Systems With Heterogeneous Components

A load-sharing system has several components and the failure of one component can affect the lifetime of the surviving components. Since component failure does not equate to system failure for different system designs, the analysis of the dependence structure between components becomes a meaningful...

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Bibliographic Details
Published in:IEEE transactions on reliability 2024-09, Vol.73 (3), p.1446-1458
Main Authors: Pesch, Tim Michael, Cramer, Erhard, Cripps, Edward, Polpo, Adriano
Format: Article
Language:English
Subjects:
Distribution functions
Extended sequential order statistics (ESOS)
Failure
Failure analysis
Hazards
heterogeneous components
increasing risks
Load modeling
Load sharing
Maintenance engineering
Mathematical models
Physical properties
Random variables
Risk management
Sequential analysis
Service life assessment
Stress measurement
successive failures
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Summary:A load-sharing system has several components and the failure of one component can affect the lifetime of the surviving components. Since component failure does not equate to system failure for different system designs, the analysis of the dependence structure between components becomes a meaningful exercise. The extended sequential order statistics model allows us to model a dependence structure between heterogeneous components in load-sharing systems. However, the results may suggest that the risk of failure decreases as components fail sequentially, which can be counterintuitive, especially when data are scarce. We propose to address this issue by imposing an order restriction on the model parameters that represent increasing failure risks. This assumption corresponds more realistically to the physical properties of the system in many applications. We discuss the advantages of the newly proposed estimates and describe situations where they should be used with caution.
ISSN:0018-9529
1558-1721
DOI:10.1109/TR.2024.3370180