A system active learning Kriging method for system reliability-based design optimization with a multiple response model

•A new method is proposed for system reliability-based design optimization.•The responses of all constraints from a multiple response model are considered.•Three system active learning functions are developed for different systems.•Results of four examples verify the accuracy and efficiency of propo...

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Vydané v:	Reliability engineering & system safety Ročník 199; s. 106935 - 11
Hlavní autori:	Xiao, Mi, Zhang, Jinhao, Gao, Liang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Barking Elsevier Ltd 01.07.2020 Elsevier BV
Predmet:	Active learning Computer applications Confidence intervals Design Design optimization Harvesters Kriging Learning Limit states Monte Carlo simulation Multiple response model Random variables Reliability engineering Sensitivity analysis Statistical analysis System active learning function System failure probability System reliability System reliability-based design optimization (SRBDO) Upgrading Multiple response model System reliability-based design optimization (SRBDO) System active learning function Kriging System failure probability
ISSN:	0951-8320, 1879-0836
On-line prístup:	Získať plný text
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