Synchronous Machine
Donated on 4/20/2021
Synchronous motors (SMs) are AC motors with constant speed.A SM dataset is obtained from a real experimental set. The task is to create the strong models to estimate the excitation current of SM.
Dataset Characteristics
Multivariate
Subject Area
Computer Science
Associated Tasks
Regression
Feature Type
Real
# Instances
557
# Features
5
Dataset Information
Additional Information
Synchronous machine data were obtained in real time from the experimental operating environment.
Has Missing Values?
No
Variable Information
Iy (Load Current) PF (Power factor) e (Power factor error) dIf (Changing of excitation current of synchronous machine) If (Excitation current of synchronous machine)
Dataset Files
| File | Size |
|---|---|
| synchronous machine.csv | 14.2 KB |
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset synchronous_machine = fetch_ucirepo(id=607) # data (as pandas dataframes) X = synchronous_machine.data.features y = synchronous_machine.data.targets # metadata print(synchronous_machine.metadata) # variable information print(synchronous_machine.variables)
Synchronous Machine [Dataset]. (2021). UCI Machine Learning Repository. https://doi.org/10.24432/C5W32R.
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.