How ML Powers Predictive Maintenance for Aircraft

Predictive maintenance uses machine learning to estimate aircraft component health from operational data, aiming to detect degradation before failure. Common algorithms include Random Forest, XGBoost, and LSTM, with challenges like data quality and model drift. The approach combines sensor readings, flight data, and maintenance records to support condition-based inspections.