NASA Turbofan Engine Degradation Simulation
Catalog Summary
"The gold standard dataset for Predictive Maintenance (PdM). Simulates engine degradation over time to predict Remaining Useful Life (RUL)."
Catalog Notes
Generated using NASA's C-MAPSS simulator, this dataset tracks the degradation of large commercial turbofan engines under varying operating conditions.
Data Features:
- 21 Sensors: Readings for temperature, pressure, fan speed, etc.
- Operational Settings: 3 settings that define the flight mode.
- Run-to-Failure: Data continues until the engine fails.
Goal:
Predicting the RUL (Remaining Useful Life) to prevent catastrophic failures in aviation.
Source: NASA Open Data Portal (Legacy).
View Data Structure
To explore column names, data types, and sample rows, visit the official dataset page on External.
Preview on ExternalCite This Catalog Record
IoTDataset.com (2026). NASA Turbofan Engine Degradation Simulation — catalog record. [Dataset]. IoTDataset.com. https://iotdataset.com/data/nasa-cmapss-jet-engine-maintenance
The publisher's preferred dataset citation is not recorded. The text above cites this IoTDataset.com catalog record, not the underlying dataset.
Catalog publisher: IoTDataset.com (2026)
Indexed by IoTDataset.com on Jan 07, 2026
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