A combined sensitivity analysis and kriging surrogate modeling for early validation of health indicators
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DOI: 10.1016/j.ress.2014.03.007
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References listed on IDEAS
- Kleijnen, Jack P.C., 2009.
"Kriging metamodeling in simulation: A review,"
European Journal of Operational Research, Elsevier, vol. 192(3), pages 707-716, February.
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- Kleijnen, J.P.C., 2007. "Kriging Metamodeling in Simulation : A Review," Other publications TiSEM 29d6926e-c381-4b58-ae58-8, Tilburg University, School of Economics and Management.
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Cited by:
- Steiner, M. & Bourinet, J.-M. & Lahmer, T., 2019. "An adaptive sampling method for global sensitivity analysis based on least-squares support vector regression," Reliability Engineering and System Safety, Elsevier, vol. 183(C), pages 323-340.
- Qian, Gengjian & Massenzio, Michel & Brizard, Denis & Ichchou, Mohamed, 2019. "Sensitivity analysis of complex engineering systems: Approaches study and their application to vehicle restraint system crash simulation," Reliability Engineering and System Safety, Elsevier, vol. 187(C), pages 110-118.
- Shi, Wen & Chen, Xi, 2019. "Controlled Morris method: A new factor screening approach empowered by a distribution-free sequential multiple testing procedure," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 299-314.
- Sun, Bo & Fan, Xuejun & van Driel, Willem & Cui, Chengqiang & Zhang, Guoqi, 2018. "A stochastic process based reliability prediction method for LED driver," Reliability Engineering and System Safety, Elsevier, vol. 178(C), pages 140-146.
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Keywords
Health monitoring; Health indicators; Degradation modeling; Validation; Uncertainties propagation; Sensitivity analysis; Surrogate modeling; Kriging;All these keywords.
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