Regional importance effect analysis of the input variables on failure probability and its state dependent parameter estimation

DOI10.1016/j.camwa.2013.09.001zbMath1381.62266OpenAlexW2020680406MaRDI QIDQ316344

Luyi Li, Zhen-Zhou Lü

Publication date: 27 September 2016

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2013.09.001

zbMATH Keywords

state dependent parameter methodfailure probability-based main effectinput variableregional importancetotal failure probability

Mathematics Subject Classification ID

Point estimation (62F10) Reliability and life testing (62N05)

Related Items (2)

Seismic Response Prediction of Open- and Closed-Loop Structural Control Systems Using a Multi-State-Dependent Parameter Estimation Approach ⋮ An efficient dimensionality-independent algorithm for failure probability-based global sensitivity analysis by dual-stage adaptive kriging model

Uses Software

• gss

Cites Work

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• Moment-independent importance measure of basic random variable and its probability density evolution solution
• Efficient input-output model representations
• Using recursive algorithms for the efficient identification of smoothing spline ANOVA models
• Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates

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