.WHL
utc-0.13.2-py3-none-any.whl (45.3 kB)
ARCHIVE
data.zip (7.55 MB)
ARCHIVE
cache.zip (18.91 MB)
TEXT
README.md (0.52 kB)
JUPYTER
demo.ipynb (312.14 kB)
1/0
NASA Turbofan Anomaly Prioritisation
software
posted on 2022-12-14, 10:11 authored by Felipe Montana GonzalezFelipe Montana Gonzalez, Adam HartwellCompanion 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.
History
Ethics
- There is no personal data or any that requires ethical approval
Policy
- The data complies with the institution and funders' policies on access and sharing
Sharing and access restrictions
- The uploaded data can be shared openly
Data description
- 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
Responsibility
- The depositor is responsible for the content and sharing of the attached files
