Machinery data, made easy

Datasets specific to PHM (prognostics and health management). Use Python to easily download and prepare the data, before feature engineering or model training.

Current datasets:

• UC-Berkeley Milling Dataset: example notebook (open in Colab); dataset source
• IMS Bearing Dataset: dataset source
• Airbus Helicopter Accelerometer Dataset: dataset source
• More coming soon!

Alpha Notice

PyPHM is in active development. Expect considerable changes in the near future.

Our goals are to create:

• A package that implements common data preprocessing methods used by others.
• A package with a coherent and thoughtful API.
• Thorough documentation, with plenty of examples.
• A package that is well tested, with the use of type hints.
• A package built with continuous integration and continuous deployment.

Installation

Install with pip: pip install pyphm

Install from github repository: clone with git clone 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