Simulated Turbofan Engine Degradation Data from NASA C-MAPSS

C-MAPSS Aircraft Engine Simulator Data contains simulated flight recordings for commercial turbofan engines under nominal and fault conditions. The data was generated by NASA using the C-MAPSS (Commercial Modular Aero-Propulsion System Simulation) Matlab Simulink tool, with each flight sampled at 1 Hz and consisting of 30 engine and flight condition parameters. The intent is to identify when and in which flight an injected fault occurred.

Use Cases

• Train anomaly detection models on 30 engine and flight condition parameters to identify the flight and timestamp of injected faults.
• Analyze health indicators, measurement temperatures, and pressure measurements to predict engine degradation over simulated flights.
• Build time-series classifiers using 1 Hz sampled flight condition data to distinguish between faults in the fan, low/high pressure compressor, or low/high pressure turbine.

Strengths

• Data generated by a high-fidelity system-level simulation tool (C-MAPSS) from NASA Glenn Research Center.
• Each flight recording contains 30 distinct engine and flight condition parameters sampled at 1 Hz.
• Faults are simulated across five critical engine components: fan, low/high pressure compressor, and low/high pressure turbine.

Limitations

• Dataset is currently unavailable for download pending a management review at Glenn Research Center.
• Data is entirely simulated, not from physical engines, which may limit real-world model generalization.
• Specific row count, file formats, and sample data details are unknown from the provided input.

Provenance

Source

National Aeronautics and Space Administration (NASA)

Collection Method

Generated using the C-MAPSS (Commercial Modular Aero-Propulsion System Simulation) Matlab Simulink tool.

Time Range

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Freshness

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Geography

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