AI-enhnaced Aircraft Maintenance

1. LSTM-Autoencoder based Aircraft QAR Sensor Anomaly Detection

Civil aircraft generate extensive time-series data from thousands of sensors throughout their operational lifespan. This data stream enables data-driven applications such as predictive maintenance, life cycle prediction, and proactive flight safety measures.

We developed an LSTM-Autoencoder AI model for anomaly detection based on operational data from B777 aircraft across diverse flight routes.