A data-driven approach for predicting failure scenarios in nuclear systems

The multidimensional computational framework for the on-line prediction of the system available RT considers a set of multidimensional trajectory patterns arising

estimate of RUL T ˆ   j  MTTF T   j until a fault is detected upon inspection because the degradation signal has deviated from its nominal value beyond

A set of failure trajectory patterns (hereafter called reference trajectory patterns) is collected in a reference library and a fuzzy based data-driven similarity

The method of RT estimation relies on data from different transient failure scenarios to create a library of reference patterns of evolution; for estimating the available RT of a

de Borst, A coupled molecular dynamics and extended finite element method for dynamic crack propagation, International Journal for Numerical Methods in Engineering 81 (2010), no..

Keywords: Asymptotic numerical method, Nonlinear homogenization, Multiscale finite element method, Long fiber composite, Microbuckling, Loss of ellipticity.. ∗ Correspondence to

The machine learning approach employed is able to recognize with incredible precision the law of evolution of the Duffing oscillator, even with high intensity of noise polluting

Choat, Jose Manuel Torres Ruiz, Eric Badel, Steven Jansen, Hervé Cochard, Régis Burlett, N..