Adaptive relevance vector machine combined with Markov-chain-based importance sampling for reliability analysis
出版年份 2021 全文链接
标题
Adaptive relevance vector machine combined with Markov-chain-based importance sampling for reliability analysis
作者
关键词
Relevance vector machine, Markov chain, Importance sampling, Surrogate model, Failure probability
出版物
RELIABILITY ENGINEERING & SYSTEM SAFETY
Volume 220, Issue -, Pages 108287
出版商
Elsevier BV
发表日期
2021-12-22
DOI
10.1016/j.ress.2021.108287
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Monte Carlo simulation using support vector machine and kernel density for failure probability estimation
- (2021) Seunggyu Lee RELIABILITY ENGINEERING & SYSTEM SAFETY
- Adaptive subset searching-based deep neural network method for structural reliability analysis
- (2021) Yuequan Bao et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Submitted to Reliability Engineering & System Safety A Hybrid Adaptive Kriging-based Single Loop Approach for Complex Reliability-based Design Optimization Problems
- (2021) Meide Yang et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- A fast-convergence algorithm for reliability analysis based on the AK-MCS
- (2021) Yifang Xiong et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Randomized quasi-Monte Carlo methods in global sensitivity analysis
- (2021) Giray Ökten et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Failure probability estimation of a class of series systems by multidomain Line Sampling
- (2021) Marcos A. Valdebenito et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- An asymptotic stochastic response surface approach to reliability assessment under multi-source heterogeneous uncertainties
- (2021) Jingjing He et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- System-based risk analysis in a tram operating system: Integrating Monte Carlo simulation with the functional resonance analysis method
- (2021) Gulsum Kubra Kaya et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Research on a seismic connectivity reliability model of power systems based on the quasi-Monte Carlo method
- (2021) Xiaohang Liu et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- An efficient and robust Kriging-based method for system reliability analysis
- (2021) Jian Wang et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Active learning relevant vector machine for reliability analysis
- (2020) T.Z. Li et al. APPLIED MATHEMATICAL MODELLING
- A novel learning function based on Kriging for reliability analysis
- (2020) Yan Shi et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- REIF: A novel active-learning function toward adaptive Kriging surrogate models for structural reliability analysis
- (2019) Xufang Zhang et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- An active learning reliability method combining Kriging constructed with exploration and exploitation of failure region and subset simulation
- (2019) Jinhao Zhang et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- AK-ARBIS: An improved AK-MCS based on the adaptive radial-based importance sampling for small failure probability
- (2019) Wanying Yun et al. STRUCTURAL SAFETY
- System reliability analysis through active learning Kriging model with truncated candidate region
- (2018) Xufeng Yang et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- LIF: A new Kriging based learning function and its application to structural reliability analysis
- (2017) Zhili Sun et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Assessing small failure probabilities by AK–SS: An active learning method combining Kriging and Subset Simulation
- (2016) Xiaoxu Huang et al. STRUCTURAL SAFETY
- An efficient reliability method combining adaptive importance sampling and Kriging metamodel
- (2015) Hailong Zhao et al. APPLIED MATHEMATICAL MODELLING
- A new learning function for Kriging and its applications to solve reliability problems in engineering
- (2015) Zhaoyan Lv et al. COMPUTERS & MATHEMATICS WITH APPLICATIONS
- An adaptive reliability method combining relevance vector machine and importance sampling
- (2015) Zhou Changcong et al. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
- A novel adaptive importance sampling algorithm based on Markov chain and low-discrepancy sequence
- (2013) Xiukai Yuan et al. AEROSPACE SCIENCE AND TECHNOLOGY
- AK-SYS: An adaptation of the AK-MCS method for system reliability
- (2013) W. Fauriat et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models
- (2012) B. Echard et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Utilization relevance vector machine for slope reliability analysis
- (2011) Pijush Samui et al. APPLIED SOFT COMPUTING
- AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation
- (2011) B. Echard et al. STRUCTURAL SAFETY
- Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions
- (2008) B. J. Bichon et al. AIAA JOURNAL
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search