Name
Title | ||
|---|---|---|
A hybrid approach for fault tree analysis combining probabilistic method with fuzzy numbers |
Abstract | ||
|---|---|---|
Conventional fault tree analysis in safety analysis of complex engineering systems calculates the occurrence probability of the top undesired event using probabilistic failure rates. However, it is often very difficult to obtain those failure rates well in advance due to insufficient data, environment changing or new components. Fuzzy numbers can be applied to estimate failure rates by handling linguistic terms. This study proposes a hybrid approach of Fuzzy Numbers and Fault Tree Analysis to solve the conventional problem and describes its procedures using a case study of emergency core cooling system of a typical nuclear power plant. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-13208-7_25 | ICAISC (1) |
Keywords | Field | DocType |
probabilistic failure rate,fuzzy number,fuzzy numbers,probabilistic method,conventional fault tree analysis,hybrid approach,complex engineering system,safety analysis,conventional problem,emergency core,fault tree analysis,case study,failure rate | Data mining,Event tree,Computer science,Probabilistic method,Artificial intelligence,Probabilistic logic,Nuclear power plant,Fault tree analysis,Safety engineering,Event tree analysis,Fuzzy number,Machine learning | Conference |
Volume | ISSN | ISBN |
6113 | 0302-9743 | 3-642-13207-3 |
Citations | PageRank | References |
2 | 0.41 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Julwan H. Purba | 1 | 2 | 0.41 |
| Jie Lu | 2 | 63 | 6.08 |
| Da Ruan | 3 | 2008 | 112.05 |
| Guangquan Zhang | 4 | 1973 | 145.64 |