NASA C-MAPSS: Turbofan Engine Degradation Simulation Data

A modified version of the NASA C-MAPSS turbofan engine degradation simulation dataset, created by the author penikmatrumput for a submission to the RISTEK UI Datathon 2025. The dataset was last updated on July 9, 2025, and each entry corresponds to one engine's operating cycle.

Use Cases

• Predict remaining useful life (RUL) based on simulated engine degradation cycles.
• Train time-series forecasting models on sequential sensor data from turbofan engines.
• Benchmark prognostic algorithms for condition-based maintenance in aerospace applications.

Strengths

• Dataset is based on the established NASA C-MAPSS benchmark for predictive maintenance.
• Created specifically for a datathon submission, suggesting a focus on practical modeling applications.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file formats are unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Modified version of the NASA C-MAPSS simulation dataset.

Collection Method

Simulation data, modified by the author.

Freshness

Last updated 2025-07-09 17:11:21.