Name
Title | ||
|---|---|---|
Principal component analysis and polynomial chaos expansion for time-variant reliability problems. |
Abstract | ||
|---|---|---|
•An efficient method for time-variant reliability analysis is proposed.•An adaptive algorithm automatically enriches the experimental design.•Non-Gaussian and non-stationary stochastic processes are considered.•Evolution of the probability of failure is obtained with one reliability analysis. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.ress.2017.06.024 | Reliability Engineering & System Safety |
Keywords | Field | DocType |
Time-variant reliability,Surrogate model,Polynomial chaos expansion,Stochastic processes,Principal component analysis | Kriging,Discretization,Mathematical optimization,Service life,Stochastic process,Surrogate model,Polynomial chaos,Adaptive algorithm,Statistics,Reliability engineering,Principal component analysis,Mathematics | Journal |
Volume | ISSN | Citations |
167 | 0951-8320 | 4 |
PageRank | References | Authors |
0.42 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lara Hawchar | 1 | 4 | 0.42 |
| Charbel-Pierre El Soueidy | 2 | 4 | 0.42 |
| Franck Schoefs | 3 | 51 | 6.76 |