Met4FoF use case of agent based condition monitoring

This is supported by European Metrology Programme for Innovation and Research (EMPIR) under the project Metrology for the Factory of the Future (Met4FoF), project number 17IND12.

Purpose

This is an implementation of the agent-based approach for the ZEMA dataset on condition monitoring of a hydraulic system.

Getting started

In case you are using PyCharm, you will already find proper run configurations at the appropriate place in the IDE. It expects that you have prepared and defined a default interpreter.

If you are not using PyCharm, of course you can run the script files as usual.

If you have any questions please get in touch with the author.

Dependencies

To install all dependencies in virtual environment based on Python version 3.9 first install pip-tools and afterwards use our prepared requirements.txt to get everything ready.

Create a virtual environment on Windows

In your Windows command prompt execute the following to set up a virtual environment in a folder of your choice.

> cd /LOCAL/PATH/TO/ENVS
> python -m venv my_agent_use_case_env
> my_agent_use_case_env\Scripts\activate.bat
(my_agent_use_case_env) > pip install --upgrade pip pip-tools numpy
Collecting numpy
...
Successfully installed numpy-...
(my_agent_use_case_env) > pip-sync
Collecting agentMET4FOF
...
Successfully installed agentMET4FOF-... ...
...

Create a virtual environment on Mac and Linux

In your terminal execute the following to set up a virtual environment in a folder of your choice.

$ python3.8 -m venv my_agent_use_case_env
$ source my_agent_use_case_env/bin/activate
$ pip install --upgrade pip pip-tools numpy
$ pip-sync
Collecting agentMET4FOF
...
Successfully installed agentMET4FOF-... ...
...

Scripts

The interesting parts you find in the file

• main_zema_agents.py

References

For details about the agents refer to the upstream repository agentMET4FOF

Screenshot of web visualization