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NASA Turbofan Engine Degradation Simulation

Industrial IoT
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Abstract

"The gold standard dataset for Predictive Maintenance (PdM). Simulates engine degradation over time to predict Remaining Useful Life (RUL)."

Description

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 External

Cite This Dataset 

External (2026). NASA Turbofan Engine Degradation Simulation. [Dataset]. External. https://data.nasa.gov/docs/legacy/CMAPSSData.zip

Source: External (2026)

Indexed by IoTDataset.com on Jan 07, 2026

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