Abstract
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 via sensed system measurements that evolve as damage progresses.
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Editor’s Note: Presentation of this paper is supported by the Air Force Research Laboratory, under agreement number F33615-01-D-5801. The U.S. Government is authorized to reproduce and distribute reprints for governmental purposes notwithstanding any copyright notational thereon. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the Air Force Research Laboratory or the U.S. Government.
For more information, contact G.J. Kacprzynski, Impact Technologies LLC, 125 Tech Park Drive, Rochester, New York 14623; (585) 424-1990; fax (585) 424-1177; e-mail greg.kacprzynski@impacttek.com.
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Kacprzynski, G.J., Sarlashkar, A., Roemer, M.J. et al. Predicting remaining life by fusing the physics of failure modeling with diagnostics. JOM 56, 29–35 (2004). https://doi.org/10.1007/s11837-004-0029-2
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DOI: https://doi.org/10.1007/s11837-004-0029-2