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GitHub / ZenithClown / decompose
Principal Component Analysis (PCA) Algorithm was implemented to determine the Functional Age of the Power Transformer using Return Voltage Measurement (RVM). [submitted]
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZenithClown%2Fdecompose
Stars: 6
Forks: 0
Open Issues: 3
License: None
Language: Python
Repo Size: 617 KB
Dependencies:
19
Created: about 3 years ago
Updated: about 1 month ago
Last pushed: 4 months ago
Last synced: about 1 month ago
Topics: central-time-constant, conference-paper, curve-fitting, dissipation-factor, ieee, initial-rate, machine-learning, matplotlib, mysurucon, numpy, pandas, principal-component-analysis, recovery-voltage, regression, research-paper, return-voltage, scipy, seaborn, tan-delta, transformer
Funding links: https://github.com/sponsors/ZenithClown
Files
Dependencies
- Pillow ==9.2.0
- cycler ==0.11.0
- fonttools ==4.36.0
- joblib ==1.1.0
- kiwisolver ==1.4.4
- matplotlib ==3.5.3
- numpy ==1.23.2
- packaging ==21.3
- pandas ==1.4.3
- pyparsing ==3.0.9
- python-dateutil ==2.8.2
- pytz ==2022.2.1
- scikit-learn ==1.1.2
- scipy ==1.9.0
- seaborn ==0.11.2
- six ==1.16.0
- threadpoolctl ==3.1.0
- actions/checkout v3 composite
- actions/setup-python v3 composite