/Gatu

Sensor time-series analyses of engine failure

Primary LanguageJupyter Notebook

Sensor time-series of aircraft engines

Summary: The main question treated in the blog is if remaining useful lifetime (RUL) of an engine can be predicted using data from multiple sensors. The data that were used for this purpose are the C-MAPSS data, available at http://ti.arc.nasa.gov/project/prognostic-data-repository

Original blog: https://rrighart.github.io/Gatu/

Script: The file Gatu-script.ipynb can be run in Jupyter notebook.

Python 2 was used (Python 3 may be used but may produce a few errors).

Modules:

os, numpy, pandas, matplotlib, scikit learn, keras.

Contact: Any questions or remarks, reach out to me at:

rrighart@googlemail.com