predictive-maintenance-on-cable-joints
A project for predictive maintenance of cable joints within Alliander's electricity grid. This project is executed by Sioux Technologies with supervision from Wageningen University for Alliander.
https://github.com/rvdinter/predictive-maintenance-on-cable-joints
Science Score: 67.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (9.3%) to scientific vocabulary
Keywords
Repository
A project for predictive maintenance of cable joints within Alliander's electricity grid. This project is executed by Sioux Technologies with supervision from Wageningen University for Alliander.
Basic Info
- Host: GitHub
- Owner: rvdinter
- License: mit
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://www.siouxtechnologies.com/
- Size: 43.8 MB
Statistics
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
- Releases: 2
Topics
Metadata Files
README.md
Predictive maintenance on cable joints
Within Alliander, challenges in operations are rising due to the energy transition. In order to facilitate Dutch electricity users, we have to not only work harder, but also smarter. Knowing when a cable will fail will help with plannability and research for electricity grid improvements. Sioux Technologies is supporting Alliander in this research.
Setting up the environment
Use Conda to create a new environment:
commandline
conda create -n alliander python=3.8 setuptools=63.4
conda activate alliander
And install the repository in editable mode: ```commandline
go to root folder
pip install --editable .
or
pip install -e .
``
As such, we can use the most recent (edited) version of theallianderpredictivemaintenance` module.
Arcitecture
The architecture is based on the 5C principle. This is also how the folders are structured.
Coding style conventions
To make sure we obey the code style rules consistently, make it a habit to run flake8 before pushing.
To run flake8:
```commandline
go to root folder
flake8 . ```
License
See the LICENSE file for license rights and limitations (MIT).
Owner
- Name: Raymon van Dinter
- Login: rvdinter
- Kind: user
- Location: Apeldoorn, The Netherlands
- Company: Sioux Technologies
- Repositories: 1
- Profile: https://github.com/rvdinter
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: van Dinter
given-names: Raymon
orcid: https://orcid.org/0000-0002-1811-8803
- family-names: Ekmekci
given-names: Görkem
- family-names: Netten
given-names: Gerdtinus
- family-names: Rieken
given-names: Sander
- family-names: Tekinderdogan
given-names: Bedir
orcid: https://orcid.org/0000-0002-8538-7261
- family-names: Catal
given-names: Cagatay
orcid: https://orcid.org/0000-0003-0959-2930
title: "A code repository for predictive maintenance on cable joints."
version: v0.1
doi: 10.5281/zenodo.7863854
date-released: 2023-04-25
GitHub Events
Total
Last Year
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Raymon van Dinter | r****r@s****u | 6 |
| Raymon van Dinter | r****d@g****m | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: about 2 years ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
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- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
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Dependencies
- jupyter *
- matplotlib *
- numpy *
- openpyxl *
- pandas *
- pytest *
- requests *
- scikit-learn *
- seaborn *
- skforecast *