Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Zhenzhou Lu"'
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. 234:622-635
Local reliability sensitivity and global reliability sensitivity are required in reliability-based design optimization, since they can provide rich information including variable importance ranking and gradient information. However, traditional Monte
Publikováno v:
Reliability Engineering & System Safety. 204:107195
Global sensitivity analysis has mainly been analyzed for scalar output and static models, though many mathematical and computational models used in engineering produce multivariate output that show some degree of correlation, and most physical system
Publikováno v:
Reliability Engineering & System Safety. 142:399-432
Measuring variable importance for computational models or measured data is an important task in many applications. It has drawn our attention that the variable importance analysis (VIA) techniques were developed independently in many disciplines. We
Publikováno v:
Structural Safety. 55:1-9
In the past few decades, variance based global sensitivity analysis for models with only uncorrelated inputs has been well developed. It aims at investigating the impact of variations in uncorrelated inputs on the variation of a model output and rank
Publikováno v:
Reliability Engineering & System Safety. 132:163-175
The moment-independent importance measure proposed by Borgonovo, which is defined as the average shift between the unconditional and conditional probability density functions (PDFs) of model output, is widely used to evaluate the influence of input u
Publikováno v:
Reliability Engineering & System Safety. 128:1-16
To further analyze the effect of different regions within input variable on the variance and mean of the model output, two new regional importance measures (RIMs) are proposed, which are the “contribution to variance of conditional mean (CVCM)” a
Publikováno v:
Reliability Engineering & System Safety. 110:60-67
The moment-independent sensitivity analysis (SA) is one of the most popular SA techniques. It aims at measuring the contribution of input variable(s) to the probability density function (PDF) of model output. However, compared with the variance-based