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.
Predicting remaining life by fusing the physics of failure modeling with diagnostics
Vorhersage der Restlebensdauer durch Kombination der Physik der Versagensmodellierung mit der Diagnose
JOM - The Journal of the Minerals, Metals and Materials Society ; 56 , 3 ; 29-35
2004
7 Seiten, 10 Bilder, 2 Tabellen, 10 Quellen
Article (Journal)
English
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