Deep Learning · Predictive Maintenance

UAV Predictive Maintenance

An AI-driven Condition-Based Maintenance Plus (CBM+) digital twin. LSTM, Transformer, and 1D-CNN models ingest vibration, thermal, and power telemetry to forecast Remaining Useful Life across a tactical fleet — trained on the NASA C-MAPSS turbofan benchmark and a synthesized multirotor UAV fleet.

Fleet Inventory · Asset Selection

The Armory

Interactive 3D carousel of all UAV and missile platforms. Inspect health, Remaining Useful Life, and select an asset to deploy.

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Live Deployment · Real-Time Telemetry

The Mission

Tactical view with live radar sweep, streaming sensor telemetry, and dynamic Remaining Useful Life forecasting.

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Post-Flight Diagnostics · XAI Overlay

The Digital Twin

Interactive 3D wireframe with anomaly highlighting, Transformer attention heatmap, and prescriptive maintenance recommendations.

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LSTM × Transformer × 1D-CNN · C-MAPSS + UAV

The Model Lab

Architecture comparison with RMSE, PHM 2008 score, training curves, and per-asset prediction overlays.

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