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The paper presents a fractional moment method for probabilistic lifetime modelling of uncertain engineering systems.
Together with the theory of copula, the efficiency and accuracy of the proposed method are illustrated by the probabilistic lifetime modelling of several dynamical and discontinuous stochastic systems.
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The proposed model outperforms classical lifetime models to these data.
That is discretization of a continuous lifetime model is an interesting and intuitively appealing approach to derive a discrete lifetime model corresponding to the continuous one (Lai 2013).
Much more than twenty known lifetime model cdfs can be expressed in this form.
Next to this, lifetime models will be developed to increase the overall reliability of the technology.
These data are analysed in order to propose an empirical lifetime model.
Another goal is to develop a lifetime model based on the results.
By using a mechanism based lifetime model, implications for fatigue lives are demonstrated.
The measured lifetimes and crack growth rates can be described using a fracture mechanics based lifetime model.
The comparison of the simulated lifetimes to the experimental results provides remarkable accuracy of the physically-based lifetime model.
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