Fleet Prognosis with Physics-informed Recurrent Neural Networks

1 code implementation • 16 Jan 2019 • Renato Giorgiani Nascimento, Felipe A. C. Viana

The results demonstrate that our proposed hybrid physics-informed recurrent neural network is able to accurately model fatigue crack growth even when the observed distribution of crack length does not match with the (unobservable) fleet distribution.

Graph Regression Graph-to-Sequence +1