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Data · dataset · 2025

Public C-MAPSS turbofan engine degradation dataset provided by NASA

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The C-MAPSS dataset was produced using a model-based simulation program called Commercial Modular Aero-Propulsion System Simulation (C-MAPSS) provided by NASA, which can accurately simulate the degradation scenarios of the turbofan engines under various degradation patterns .

Description

The C-MAPSS turbofan engine dataset contains 4 sub-datasets (Datasets #1 to #4) that represent an increasing level of complexity due to the effects of degradation patterns and operating conditions, as shown in Table 2.

Each sub-dataset is composed of multivariate temporal data obtained from 24 sensors, and contains one training set and one test set. The training set includes complete run-to-failure data of multiple aero-engines, while the test set includes a number of instances with incomplete data that end prior to failure. The 24 sensors consist of three operation condition monitoring sensors and 21performance monitoring sensors.

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Each engine starts with different degrees of initial wear and manufacturing variation that is unknown and considered to be healthy. In addition, the actual RUL values of the test engines are also revealed for datasets #1 to #4,

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Inferred from text
Simulation 75% · Tabular 65%
Provenance · 1 source records, 12 field assertions
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ScienceDB10.57760/sciencedb.1949212 d agoJSON v1
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