Su-Dan Bai

Elastic Ranking-Driven Time Series Feature Optimization for Aeroengine Remaining Useful Life Prediction

This paper proposes a hierarchical recurrent neural network framework that leverages a context-gated mechanism and the elastic sorting of time series indicators, addressing the strong dynamic coupling characteristics of aeroengine operational time series data. This framework addresses the coupling of multi-physical fie...