Model predicts a system's remaining life and links info to inventory decisions

New research at the Georgia Institute of Technology could soon make predicting the degradation and remaining useful life of mechanical and electronic equipment easier and more accurate, while significantly improving maintenance operations and spare parts logistics.

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