Remaining Useful Life Estimation Under Uncertainty with Causal GraphNets

Abstract

Removing the sequential bottleneck from irregular time series deep learning models, using GNNs with causal connectivity. Applying these models to Remaining Useful life problems.

Charilaos Mylonas

Data/Computational Scientist, Consultant

Data Scientist