Conference
Open access
2026
A Hybrid LSTM–XGBoost Framework for Vibration-Based Predictive Maintenance of Rotating Machinery
The unexpected failure of an induced draft fan in a cement plant highlighted the need for more reliable predictive maintenance strategies. This study proposes a hybrid LSTM-XGBoost framework for one-hour-ahead vibration prediction. Trained on 18496 hourly sensor readings from that fan, the framework predicts vibratio...
Noureddine Allassak, Ahmed El-Yahyaoui, S. Trichni et al.
· EPJ Web of Conferences · 0 citations