This repository provides a framework for Federated Prognostics and Health Management (PHM) using Temporal Convolutional Networks (TCN) to predict the Remaining Useful Life (RUL) of industrial assets. Using the NASA CMAPSS dataset, it enables comparative studies between centralized training baselines and federated learning environments.

基于时空图神经网络的航空发动机剩余寿命（RUL）预测 | STGNN-based RUL prediction using NASA C-MAPSS