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Probability density function of the equivalent stress amplitude using statistical transformationFranko, Mitja ; Nagode, MarkoThe shape of a rainflow matrix is complex and cannot be approximated by a simple distribution function. In this paper, the Weibull-normal mixture distribution is used, for which the number of ... components and unknown parameters are required to be estimated. The scope of the paper is to estimate the number of components and unknown parameters using the FlexMix and REBMIX algorithms, and compare their results. The results are then used in Goodman and Walker mean stress correction methods. This correction is not made as a point-to-point transformation, where the information about the distribution function of the rainflow matrix is lost. Instead, the used distribution function of the rainflow matrix with estimated parameters is transformed in accordance with Goodman and Walker mean stress correction methods. With this procedure, the probability density of the equivalent stress amplitude is immediately obtained, and the information about the distribution function of the rainflow matrix is not lost.Source: Reliability engineering & systems safety. - ISSN 0951-8320 (Vol. 134, 2015, str. 118-125)Type of material - article, component partPublish date - 2015Language - englishCOBISS.SI-ID - 13747227
Author
Franko, Mitja |
Nagode, Marko
Topics
EM algorithm |
REBMIX algorithm |
FlexMix algorithm |
Weibull-normal mixture |
mean stress correction |
algoritmi |
EM algoritem |
REBMIX algoritem |
FlexMix algoritem |
Weibull-normalna mešana porazdelitev verjetnosti |
korekcija srednje vrednosti napetosti

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Franko, Mitja | 34407 |
Nagode, Marko | 13469 |
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