Name
Abstract | ||
|---|---|---|
•A Bayesian inference model is proposed to predict time-variant response.•An active learning is proposed to estimate failure probability of time-variant problem.•The proposed method is efficient and accurate for engineering applications. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.ress.2019.03.041 | Reliability Engineering & System Safety |
Keywords | Field | DocType |
Time-variant reliability,Gaussian process,Active learning,High dimensional model representation | Kriging,Random variable,Monte Carlo method,Active learning,Uncertainty quantification,Algorithm,Gaussian process,Engineering,High-dimensional model representation,Dynamic problem,Reliability engineering | Journal |
Volume | ISSN | Citations |
188 | 0951-8320 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kai Cheng | 1 | 39 | 12.36 |
| Zhenzhou Lu | 2 | 182 | 33.11 |