Improving tail accuracy of the predicted cumulative distribution function of time of failure
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DOI: 10.1016/j.ress.2020.107333
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References listed on IDEAS
- Sierra, G. & Orchard, M. & Goebel, K. & Kulkarni, C., 2019. "Battery health management for small-size rotary-wing electric unmanned aerial vehicles: An efficient approach for constrained computing platforms," Reliability Engineering and System Safety, Elsevier, vol. 182(C), pages 166-178.
- Shields, Michael D. & Zhang, Jiaxin, 2016. "The generalization of Latin hypercube sampling," Reliability Engineering and System Safety, Elsevier, vol. 148(C), pages 96-108.
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- Lu, Cheng & Teng, Da & Chen, Jun-Yu & Fei, Cheng-Wei & Keshtegar, Behrooz, 2023. "Adaptive vectorial surrogate modeling framework for multi-objective reliability estimation," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
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Keywords
Predicted end-of-Life distribution; Risk-based decisions; Computational constraints; Monte Carlo sampling; Latin hypercube sampling; Kernel density estimation; Time sensitive and safety critical applications;All these keywords.
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