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.

Nagi Gebraeel, an assistant professor in Georgia Tech’s H. Milton Stewart School of Industrial and Systems Engineering, has developed models that use data from real-time sensor measurements to calculate and continuously revise the amount of remaining useful life of different engineering systems based on their current condition and health status. These predictions are then integrated with maintenance management and spare parts supply chain policies as part of an autonomous “sense and respond” logistics paradigm.

Source: Georgia Tech University