The Bearing dataset from NASA is used for prognostic technology development, addressing gaps in prognostic technologies for aeronautics and space exploration applications.
Associated Tasks | Likely Prognostics, Health Management |
Data Source | Real |
Dataset Characteristics | Information not available |
Date Donated | Information not available |
Feature Type | Information not available |
Labeled | Likely |
Missing Values | Information not available |
Name | Bearing |
Number of Features | Information not available |
Number of Instances | Information not available |
Source | NASA Prognostic Data Repository |
Time Series | Likely |
The Bearing dataset is part of the Prognostics Center of Excellence (PCoE) at NASA Ames Research Center, which focuses on prognostic technology development for aeronautics and space exploration. The dataset likely includes real sensor data used for diagnostics and prognostics to improve system health management.
The PCoE umbrella supports prognostic technology gaps and research in various aerospace mission areas. This dataset supports research in developing predictive maintenance and health monitoring models for mechanical components like bearings, which are critical for reliable operations.
Specific details such as the number of instances, features, or exact task types are not available from the provided webpage content, but the context suggests that the dataset provides time-series sensor data related to bearing conditions for prognostic and diagnostic machine learning tasks.