Multi-source uncertainty considered assembly process quality control based on surrogate model and information entropy-Reference-Cited by-同舟云学术

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Multi-source uncertainty considered assembly process quality control based on surrogate model and information entropy

Published:2018-11-29 Issue:5 Volume:59 Page:1685-1701
ISSN:1615-147X
Container-title:Structural and Multidisciplinary Optimization
language:en
Short-container-title:Struct Multidisc Optim

Author:

Li Y.,Zhang F. P.,Yan Y.,Zhou J. H.,Li Y. F.

Funder

National Natural Science Foundation of China

Project of State department of China

National Defense 973 Program of China

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization,Computer Graphics and Computer-Aided Design,Computer Science Applications,Control and Systems Engineering,Software

Link

http://link.springer.com/content/pdf/10.1007/s00158-018-2154-5.pdf

Reference36 articles.

1. Abebe M, Park JW, Kang BS (2017) Reliability-based robust process optimization of multi-point dieless forming for product defect reduction. Int J Adv Manuf Technol 89(1–4):1223–1234

2. Bae HR, Grandhi RV, Canfield RA (2006) Sensitivity analysis of structural response uncertainty propagation using evidence theory. Struct Multidiscip Optim 31(4):270–279

3. Basudhar A, Dribusch C, Lacaze S, Missoum S (2012) Constrained efficient global optimization with support vector machines. Struct Multidiscip Optim 46(2):201–221

4. Choi J, An D, Won J (2010) Bayesian approach for structural reliability analysis and optimization using the kriging dimension reduction method. J Mech Des 132(5):051003

5. Dhingra P (2014) Reliability-based design optimization with progressive surrogate models. Eng Optim 46 (12):1609–1627

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