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NASA Turbofan Engine Degradation Simulation

Industrial IoT & Predictive Maintenance Industrial IoT
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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.

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Cite 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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