Python tools to extract and analyze Acoustic Emission measurement data:
- vallenae.io: Reading (and writing) of Vallen Systeme SQLite database files (*.pridb, *.tradb, *.trfdb)
- vallenae.features: Extraction of Acoustic Emission features
- vallenae.timepicker: Timepicking algorithms for arrival time estimations
Note: A free/lite version of the Vallen AE Suite is available since the release R2020. If offers the basic features for real-time data visualization and analysis with VisualAE. So you could write you own pridb/tradb files and have real-time visualizations with VisualAE.
The Vallen AE Suite can be downloaded here: https://www.vallen.de/downloads/
For full documentation and examples, please visit http://pyvallenae.rtfd.io.
Install the latest version from PyPI:
pip install vallenae
Please note, that vallenae requires Python 3.6 or newer. On Linux systems, pip is usually mapped to Python 2, so use pip<version> (e.g. pip3 or pip3.7) instead. Alternatively, you can run pip from your specific Python version with python<version> -m pip.
Feature requests, bug reports and fixes are always welcome!
After cloning the repository, you can easily install the development environment and tools (pylint, mypy, pytest, tox) with:
git clone https://github.com/vallen-systems/pyVallenAE.git
cd pyVallenAE
pip install -e .[dev]
And run the test suite with tox:
tox
The documentation is built with sphinx:
cd docs
sphinx-build . _build