Summary: This dataset, generated with the C-MAPSS tool, models turbofan engine degradation under various conditions to evaluate performance and predict failures.
| Parameter | Value |
|---|---|
| Name | Turbofan Engine Degradation Simulation Data Set |
| Labeled | Yes |
| Time Series | Yes |
| Simulation | Yes |
| Missing Values | No |
| Dataset Characteristics | Time-Series, Multivariate |
| Feature Type | Real |
| Associated Tasks | Prognostics |
| Number of Instances | INA |
| Number of Features | INA |
| Date Donated | 2010-09-22 |
| Source | NASA |
Run-to-failure data: Engine degradation simulation was carried out using the C-MAPSS tool. Four different sets were simulated under different combinations of operational conditions and fault modes. Several sensor channels were recorded to characterize fault evolution. The data set was provided by the Prognostics CoE at NASA Ames. The set is in text format and has been zipped including a readme file. Please cite: 'A. Saxena and K. Goebel (2008). "Turbofan Engine Degradation Simulation Data Set", NASA Ames Prognostics Data Repository, NASA Ames, Moffett Field, CA.'
Turbofan engines, Engine degradation, Simulation data, Prognostics health management, NASA dataset