NASA Turbofan Anomaly Prioritisation
softwareposted on 2022-12-14, 10:11 authored by Felipe Montana GonzalezFelipe Montana Gonzalez, Adam Hartwell
Companion to In-flight Novelty Detection with Convolutional Neural Networks paper with the implementation of anomaly prioritisation system.
Dataset available at https://www.kaggle.com/datasets/behrad3d/nasa-cmaps
Original dataset provided by the Prognostics CoE at NASA Ames.
EthicsThere is no personal data or any that requires ethical approval
PolicyThe data complies with the institution and funders' policies on access and sharing
Sharing and access restrictionsThe data can be shared openly
- The file formats are open or commonly used
Methodology, headings and units
- There is a file including methodology, headings and units, such as a readme.txt