Technology that enables failure prediction of critical machine components (prognostics) has the potential to significantly reduce maintenance costs and increase availability and safety. This article summarizes a research effort funded through the U.S. Defense Advanced Research Projects Agency and Naval Air System Command aimed at enhancing prognostic accuracy through more advanced physics-of-failure modeling and intelligent utilization of relevant diagnostic information. H-60 helicopter gear is used as a case study to introduce both stochastic sub-zone crack initiation and three-dimensional fracture mechanics lifing models along with adaptive model updating techniques for tuning key failure mode variables at a local material/damage site based on fused vibration features. The overall prognostic scheme is aimed at minimizing inherent modeling and operational uncertainties sensed system measurements that evolve as damage progresses.


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    Title :

    Predicting remaining life by fusing the physics of failure modeling with diagnostics


    Additional title:

    Vorhersage der Restlebensdauer durch Kombination der Physik der Versagensmodellierung mit der Diagnose


    Contributors:
    Kacprzynski, H.J. (author) / Sarlashkar, A. (author) / Roemer, M.J. (author) / Hess, A. (author) / Hardman, W. (author)


    Publication date :

    2004


    Size :

    7 Seiten, 10 Bilder, 2 Tabellen, 10 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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