Metadata-Version: 2.1
Name: pyphm
Version: 0.0.2
Summary: Machinery data, made easy
Home-page: https://github.com/tvhahn/PyPHM
Author: Tim von Hahn
Author-email: t.vonhahn@queensu.ca
License: UNKNOWN
Project-URL: Bug Tracker, https://github.com/tvhahn/PyPHM/issues
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE

# PyPHM
![example workflow](https://github.com/tvhahn/PyPHM/actions/workflows/main.yml/badge.svg)

**Machinery data, made easy**

Datasets specific to Prognostics and Health Management. Easily download and prepare the data before feature engineering or model training. 

Current datasets:
- [UC-Berkeley Milling Dataset](https://ti.arc.nasa.gov/tech/dash/groups/pcoe/prognostic-data-repository/#milling)
- [IMS Bearing Dataset](https://ti.arc.nasa.gov/tech/dash/groups/pcoe/prognostic-data-repository/#bearing)
- [Airbus Helicopter Accelerometer Dataset](https://www.research-collection.ethz.ch/handle/20.500.11850/415151)
- More coming soon!


## Alpha Notice
This package is in active development. Expect considerable changes in the near future.

## Installation
Install from github repository: `https://github.com/tvhahn/PyPHM.git`. Then run `python -m pip install -e .` to install the package on your local machine.

Run tests: `python -m unittest discover -s tests`



