Extract and analyze Acoustic Emission measurement data
Project description
Vallen AE Python Tools
Python tools to extract and analyze Acoustic Emission measurement data. The package includes following modules:
- 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.
Installation
Install the latest version from PyPI:
$ pip install vallenae
If you want to run the latest version of the code, you can install from the master branch directly:
$ pip install -U git+https://github.com/vallen-systems/pyVallenAE.git
# Or if you don't have git installed
$ pip install -U https://github.com/vallen-systems/pyVallenAE/zipball/master
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
.
Contributing
Feature requests, bug reports and fixes are always welcome! Just create an issue or make a pull-request.
Development setup
# Clone this repository
$ git clone https://github.com/vallen-systems/pyVallenAE.git
$ cd pyVallenAE
# Install package and dependencies
$ pip install -e .[dev]
# Run the test suite with tox
$ tox
# Build the documentation with Sphinx
$ cd docs
$ make html # on Linux
$ ./make.bat html # on Windows
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