C-MAPSS dataset

The C-MAPSS dataset (Commercial Modular Aero-Propulsion System Simulation) is a widely used benchmark dataset for prognostics and health management (PHM) research in the field of aviation. It was originally developed by NASA to support research in the areas of fault diagnosis, prognostics, and remaining useful life (RUL) estimation for aircraft engines.

The dataset contains sensor measurements and operational data from a fleet of commercial turbofan engines, which were operated under different conditions and subjected to various types of faults and failures. The dataset includes four different sub-datasets, each representing a different engine model and covering different levels of fault severity.

The C-MAPSS dataset has been widely used by researchers and practitioners to develop and evaluate various PHM techniques, including data-driven and model-based approaches for fault detection, diagnosis, and RUL estimation. It has also been used to compare the performance of different PHM methods and to benchmark different algorithms and techniques in the field.

Overall, the C-MAPSS dataset has played a critical role in advancing the state of the art in PHM research for aircraft engines and has contributed to improving the safety, reliability, and efficiency of commercial aviation.