IDEAS home Printed from https://ideas.repec.org/r/eee/reensy/v148y2016icp96-108.html
   My bibliography  Save this item

The generalization of Latin hypercube sampling

Citations

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


Cited by:

  1. Yue, Wenhao & Yang, Chen & Shi, Chenyue & Yang, Jinguang & Liao, Naibing, 2024. "Uncertainty quantification of the inlet boundary conditions in a supercritical CO2 centrifugal compressor based on the non-intrusive polynomial chaos," Energy, Elsevier, vol. 310(C).
  2. Javaid, M. Tariq & Sajjad, Umar & Saddam ul Hassan, Syed & Nasir, Sheharyar & Shahid, M. Usman & Ali, Awais & Salamat, Shuaib, 2023. "Power enhancement of vertical axis wind turbine using optimum trapped vortex cavity," Energy, Elsevier, vol. 278(PA).
  3. Jiacheng Liu & Haiyun Liu & Cong Zhang & Jiyin Cao & Aibo Xu & Jiwei Hu, 2024. "Derivative-Variance Hybrid Global Sensitivity Measure with Optimal Sampling Method Selection," Mathematics, MDPI, vol. 12(3), pages 1-15, January.
  4. Yinquan Yu & Yue Pan & Qiping Chen & Yiming Hu & Jian Gao & Zhao Zhao & Shuangxia Niu & Shaowei Zhou, 2023. "Multi-Objective Optimization Strategy for Permanent Magnet Synchronous Motor Based on Combined Surrogate Model and Optimization Algorithm," Energies, MDPI, vol. 16(4), pages 1-17, February.
  5. Shi, Yan & Lu, Zhenzhou & He, Ruyang & Zhou, Yicheng & Chen, Siyu, 2020. "A novel learning function based on Kriging for reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
  6. Jia, Wantao & Feng, Xiaotong & Hao, Mengli & Ma, Shichao, 2024. "Deep neural network method to predict the dynamical system response under random excitation of combined Gaussian and Poisson white noises," Chaos, Solitons & Fractals, Elsevier, vol. 185(C).
  7. García, Antonio & Monsalve-Serrano, Javier & Martínez-Boggio, Santiago & Wittek, Karsten, 2020. "Potential of hybrid powertrains in a variable compression ratio downsized turbocharged VVA Spark Ignition engine," Energy, Elsevier, vol. 195(C).
  8. Novák, Lukáš & Valdebenito, Marcos & Faes, Matthias, 2025. "On fractional moment estimation from polynomial chaos expansion," Reliability Engineering and System Safety, Elsevier, vol. 254(PA).
  9. Hau T. Mai & Jaewook Lee & Joowon Kang & H. Nguyen-Xuan & Jaehong Lee, 2022. "An Improved Blind Kriging Surrogate Model for Design Optimization Problems," Mathematics, MDPI, vol. 10(16), pages 1-19, August.
  10. Himakar Ganti & Manu Kamin & Prashant Khare, 2020. "Design Space Exploration of Turbulent Multiphase Flows Using Machine Learning-Based Surrogate Model," Energies, MDPI, vol. 13(17), pages 1-23, September.
  11. Xie, Bin & Wang, Yanzhong & Zhu, Yunyi & Liu, Peng & Wu, Yu & Lu, Fengxia, 2024. "Time-variant reliability analysis of angular contact ball bearing considering the coupled effect of rolling contact fatigue damage and wear," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
  12. Morzaria-Luna, Hem Nalini & Ainsworth, Cameron H. & Tarnecki, Joseph H. & Grüss, Arnaud, 2018. "Diet composition uncertainty determines impacts on fisheries following an oil spill," Ecosystem Services, Elsevier, vol. 33(PB), pages 187-198.
  13. Li, Jian & Dueñas-Osorio, Leonardo & Chen, Changkun & Shi, Congling, 2016. "Connectivity reliability and topological controllability of infrastructure networks: A comparative assessment," Reliability Engineering and System Safety, Elsevier, vol. 156(C), pages 24-33.
  14. Xu, Jintao & Gui, Maolei & Ding, Rui & Dai, Tao & Zheng, Mengyan & Men, Xinhong & Meng, Fanpeng & Yu, Tao & Sui, Yang, 2023. "A new approach for dynamic reliability analysis of reactor protection system for HPR1000," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
  15. Wang, Run-Zi & Gu, Hang-Hang & Zhu, Shun-Peng & Li, Kai-Shang & Wang, Ji & Wang, Xiao-Wei & Hideo, Miura & Zhang, Xian-Cheng & Tu, Shan-Tung, 2022. "A data-driven roadmap for creep-fatigue reliability assessment and its implementation in low-pressure turbine disk at elevated temperatures," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
  16. Zhou, Tong & Peng, Yongbo, 2022. "Reliability analysis using adaptive Polynomial-Chaos Kriging and probability density evolution method," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
  17. Qihong Feng & Kuankuan Wu & Jiyuan Zhang & Sen Wang & Xianmin Zhang & Daiyu Zhou & An Zhao, 2022. "Optimization of Well Control during Gas Flooding Using the Deep-LSTM-Based Proxy Model: A Case Study in the Baoshaceng Reservoir, Tarim, China," Energies, MDPI, vol. 15(7), pages 1-14, March.
  18. Dang, Chao & Xu, Jun, 2020. "Unified reliability assessment for problems with low- to high-dimensional random inputs using the Laplace transform and a mixture distribution," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
  19. Sierra, Gina & Robinson, Elinirina I. & Goebel, Kai, 2021. "Improving tail accuracy of the predicted cumulative distribution function of time of failure," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
  20. Gu, Hang-Hang & Wang, Run-Zi & Zhang, Kun & Li, Kai-Shang & Sun, Li & Zhang, Xian-Cheng & Tu, Shan-Tung, 2025. "Damage-driven framework for reliability assessment of steam turbine rotors operating under flexible conditions," Reliability Engineering and System Safety, Elsevier, vol. 254(PA).
  21. Wang, Tianzhe & Chen, Zequan & Li, Guofa & He, Jialong & Liu, Chao & Du, Xuejiao, 2024. "A novel method for high-dimensional reliability analysis based on activity score and adaptive Kriging," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
  22. Hanye Xiong & Zhenzhong Shen & Yongchao Li & Yiqing Sun, 2024. "A Novel Inversion Method for Permeability Coefficients of Concrete Face Rockfill Dam Based on Sobol-IDBO-SVR Fusion Surrogate Model," Mathematics, MDPI, vol. 12(7), pages 1-19, April.
  23. Quan Li & Xin Wang & Shuaiang Rong, 2018. "Probabilistic Load Flow Method Based on Modified Latin Hypercube-Important Sampling," Energies, MDPI, vol. 11(11), pages 1-14, November.
  24. Goda, Takashi, 2021. "A simple algorithm for global sensitivity analysis with Shapley effects," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
  25. Okpokparoro, Salem & Sriramula, Srinivas, 2021. "Uncertainty modeling in reliability analysis of floating wind turbine support structures," Renewable Energy, Elsevier, vol. 165(P1), pages 88-108.
  26. Shields, Michael D., 2018. "Adaptive Monte Carlo analysis for strongly nonlinear stochastic systems," Reliability Engineering and System Safety, Elsevier, vol. 175(C), pages 207-224.
  27. Yue, Wencong & Li, Yangqing & Su, Meirong & Chen, Qionghong & Rong, Qiangqiang, 2023. "Carbon emissions accounting and prediction in urban agglomerations from multiple perspectives of production, consumption and income," Applied Energy, Elsevier, vol. 348(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.