Name
Abstract | ||
|---|---|---|
Correlated component failures (CCF) degrade system reliability, and hence, these failures must be explicitly incorporated into the reliability analysis process. Several contemporary efforts consider CCF, however, most of these approaches introduce an exponential number of parameters and are computationally intensive because they require a complete characterization of the joint distribution of the components. As a result, these approaches are not scalable and cannot be applied to large systems. This paper presents an efficient approach to analyze system reliability considering CCF. The approach introduces only a quadratic number of parameters and is computationally efficient. The effectiveness of the approach is illustrated through a series of examples. The results indicate that the approach is both simple and efficient and can be applied to large systems. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/HASE.2011.31 | HASE |
Keywords | Field | DocType |
efficient approach,exponential number,degrade system reliability,contemporary effort,correlated component failure,reliability analysis process,efficient system reliability,correlated component failures,quadratic number,large system,system reliability,complete characterization,encoding,software reliability,reliability,correlation,reliability analysis,mathematical model | Exponential function,Joint probability distribution,Computer science,Quadratic equation,Software quality,Reliability engineering,Scalability,Encoding (memory) | Conference |
Citations | PageRank | References |
2 | 0.39 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lance Fiondella | 1 | 104 | 16.23 |
| Sanguthevar Rajasekaran | 2 | 1508 | 190.34 |
| Swapna S. Gokhale | 3 | 860 | 77.93 |