IDEAS home Printed from https://ideas.repec.org/r/eee/reensy/v137y2015icp40-49.html

First and second order approximate reliability analysis methods using evidence theory

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Sarazin, Gabriel & Morio, Jérôme & Lagnoux, Agnès & Balesdent, Mathieu & Brevault, Loïc, 2021. "Reliability-oriented sensitivity analysis in presence of data-driven epistemic uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
  2. Xiao, Ning-Cong & Zuo, Ming J. & Zhou, Chengning, 2018. "A new adaptive sequential sampling method to construct surrogate models for efficient reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 330-338.
  3. Liu, Jie & Hu, Yifeng & Xu, Can & Jiang, Chao & Han, Xu, 2016. "Probability assessments of identified parameters for stochastic structures using point estimation method," Reliability Engineering and System Safety, Elsevier, vol. 156(C), pages 51-58.
  4. Xiao, Tianli & Park, Chanseok & Lin, Chenglong & Ouyang, Linhan & Ma, Yizhong, 2023. "Hybrid reliability analysis with incomplete interval data based on adaptive Kriging," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
  5. Hao, Donghui & Zhang, Jian & Yue, Xinxin & Chen, Lei, 2025. "Combined dimensionality reduction based adaptive polynomial chaos expansion for high-dimensional reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 264(PA).
  6. Palash Dutta, 2019. "Structural Reliability Analysis with Inverse Credibility Distributions," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 15(01), pages 47-63, March.
  7. Yao, Wen & Zheng, Xiaohu & Zhang, Jun & Wang, Ning & Tang, Guijian, 2023. "Deep adaptive arbitrary polynomial chaos expansion: A mini-data-driven semi-supervised method for uncertainty quantification," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
  8. Zhou, Changcong & Zhang, Hanlin & Valdebenito, Marcos A. & Zhao, Haodong, 2022. "A general hierarchical ensemble-learning framework for structural reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
  9. Li, Chen & Wen, Jiong-Ran & Wan, Jing & Taylan, Osman & Fei, Cheng-Wei, 2024. "Adaptive directed support vector machine method for the reliability evaluation of aeroengine structure," Reliability Engineering and System Safety, Elsevier, vol. 246(C).
  10. Mi, Jinhua & Li, Yan-Feng & Peng, Weiwen & Huang, Hong-Zhong, 2018. "Reliability analysis of complex multi-state system with common cause failure based on evidential networks," Reliability Engineering and System Safety, Elsevier, vol. 174(C), pages 71-81.
  11. Zhang, Tianyu & Zhang, Jize, 2025. "iCE-NGM: Improved cross-entropy importance sampling with non-parametric adaptive Gaussian mixtures and budget-informed stopping criterion," Reliability Engineering and System Safety, Elsevier, vol. 264(PA).
  12. Cai, Yu & Zhao, Wei & Wang, Xiaoping & Ou, Yanjun & Chen, Yangyang & Li, Xueyan, 2024. "A novel multiple linearization method for reliability analysis based on evidence theory," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
  13. Wang, Fan & Li, Heng, 2018. "System reliability under prescribed marginals and correlations: Are we correct about the effect of correlations?," Reliability Engineering and System Safety, Elsevier, vol. 173(C), pages 94-104.
  14. Mathpati, Yogesh Chandrakant & More, Kalpesh Sanjay & Tripura, Tapas & Nayek, Rajdip & Chakraborty, Souvik, 2023. "MAntRA: A framework for model agnostic reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
  15. Liu, Di & Wang, Shaoping, 2020. "A degradation modeling and reliability estimation method based on Wiener process and evidential variable," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
  16. Song, Jingwen & Cui, Yifan & Wei, Pengfei & Valdebenito, Marcos A. & Zhang, Weihong, 2024. "Constrained Bayesian optimization algorithms for estimating design points in structural reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
  17. Dawei Zhang & Weilin Li & Xiaohua Wu & Tie Liu, 2018. "An Efficient Regional Sensitivity Analysis Method Based on Failure Probability with Hybrid Uncertainty," Energies, MDPI, vol. 11(7), pages 1-19, June.
  18. Luo, Zhenxian & Zhang, Yingke & Fang, Hongyu & Wang, Chuanjian & Wang, Lei, 2025. "Prediction for the structural response with multi-extreme points based on the third-order Taylor series expansion subinterval method," Reliability Engineering and System Safety, Elsevier, vol. 262(C).
  19. Jiang, Chen & Qiu, Haobo & Yang, Zan & Chen, Liming & Gao, Liang & Li, Peigen, 2019. "A general failure-pursuing sampling framework for surrogate-based reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 183(C), pages 47-59.
  20. Li, Zai-Wei & Zhou, Yun-Lai & Liu, Xiao-Zhou & Abdel Wahab, Magd, 2023. "Service reliability assessment of ballastless track in high speed railway via improved response surface method," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
  21. Fan Yang & Ming Liu & Lei Li & Hu Ren & Jianbo Wu, 2019. "Evidence-Based Multidisciplinary Design Optimization with the Active Global Kriging Model," Complexity, Hindawi, vol. 2019, pages 1-13, November.
  22. Keshtegar, Behrooz & Chakraborty, Subrata, 2018. "An efficient-robust structural reliability method by adaptive finite-step length based on Armijo line search," Reliability Engineering and System Safety, Elsevier, vol. 172(C), pages 195-206.
  23. Shengwen Yin & Keliang Jin & Yu Bai & Wei Zhou & Zhonggang Wang, 2023. "Solution-Space-Reduction-Based Evidence Theory Method for Stiffness Evaluation of Air Springs with Epistemic Uncertainty," Mathematics, MDPI, vol. 11(5), pages 1-19, March.
  24. Kim, Taeyong & Song, Junho, 2018. "Generalized Reliability Importance Measure (GRIM) using Gaussian mixture," Reliability Engineering and System Safety, Elsevier, vol. 173(C), pages 105-115.
  25. Sarat Sivaprasad & Cameron A. MacKenzie, 2018. "The Hurwicz Decision Rule’s Relationship to Decision Making with the Triangle and Beta Distributions and Exponential Utility," Decision Analysis, INFORMS, vol. 15(3), pages 139-153, September.
  26. Li, Guosheng & Ma, Shuaichao & Zhang, Dequan & Yang, Leping & Zhang, Weihua & Wu, Zeping, 2024. "An efficient sequential anisotropic RBF reliability analysis method with fast cross-validation and parallelizability," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
  27. Liu, Di & Wang, Shaoping, 2021. "Reliability estimation from lifetime testing data and degradation testing data with measurement error based on evidential variable and Wiener process," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
  28. Zhang, Dequan & Hao, Zhijie & Han, Xu & Dai, Shijie & Li, Qing, 2025. "A new probabilistic transformation technique for evidence-theory-based structural reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 258(C).
  29. Gao, Hai-Feng & Wang, Yu-Hang & Li, Yang & Zio, Enrico, 2024. "Distributed-collaborative surrogate modeling approach for creep-fatigue reliability assessment of turbine blades considering multi-source uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
  30. Zhang, Jian & Gong, Weijie & Yue, Xinxin & Shi, Maolin & Chen, Lei, 2022. "Efficient reliability analysis using prediction-oriented active sparse polynomial chaos expansion," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.