Pbkp_redicting remaining useful life in CRFP laminates under fatigue loads: A new efficient algorithm


Abstract:

This work presents an efficient computational framework for estimating the end of life and remaining useful life by combining the prognostics principles with the technique of Subset simulation. It has been named PFP-SubSim on behalf of the full denomination of the computational framework, namely, particle filter-based prognostics using Subset Simulation. It is shown that the resulting algorithm is especially useful when dealing with the prognostics of evolving processes with asymptotic behaviors where the length of the dataset is limited, as observed in practice for many fatigue degradation processes in composites. Its efficiency is demonstrated on data collected from run-to-failure tension-tension fatigue experiments measuring the evolution of fatigue damage in CRFP cross-ply laminates using PZT sensors for obtaining data of matrix micro-crack density.

Año de publicación:

2014

Keywords:

    Fuente:

    scopusscopus

    Tipo de documento:

    Conference Object

    Estado:

    Acceso restringido

    Áreas de conocimiento:

    • Algoritmo
    • Ingeniería mecánica
    • Aprendizaje automático

    Áreas temáticas:

    • Ingeniería y operaciones afines
    • Otras ramas de la ingeniería