The prediction of an asset’s Remaining Useful Life (RUL) and the modelling of its degradation process are critical for the optimisation of maintenance strategies and the assurance of operational ...

Although deep learning-based methods have demonstrated promising results in estimating the RUL, most methods consider that each time step's features hold equal importance. When data with varying ...

Alfred University is recipient of $160,644 in National Science Foundation (NSF) grant funding which will be used to support a training program focused on battery degradation and useful life prediction ...