Synthetic data of the paper: “Quantification of feature importance in automatic classification of power quality distortions”

Citation Author(s):
Raul
Igual
Universidad de Zaragoza
Seyedmahdi
Miraftabzadeh
Politecnico di Milano
Federica
Foiadelli
Politecnico di Milano
Carlos
Medrano
Universidad de Zaragoza
Submitted by:
Raul Igual
Last updated:
Tue, 10/01/2019 - 07:44
DOI:
10.21227/bt55-nd11
Data Format:
.csv
License:
Creative Commons Attribution
1248 Views
Categories:
Power and Energy
Keywords:
power quality, features, Stockwell Transform, synthetic data, Simulation, public model
0
0 ratings - Please login to submit your rating.
ACCESS DATASET CITE SHARE/EMBED

Abstract 

This dataset is related to the paper “Quantification of feature importance in automatic classification of power quality distortions” (IEEE International Conference on Harmonics and Quality of Power, March 2020). It includes the features extracted from synthetic signals with power quality distortions obtained from a public model (doi: 10.1109/ICHQP.2018.8378902).

The dataset includes data associated with 8 features (described in the paper above) obtained from signals processed with the Stockwell Transform. The distortions considered in the paper were: normal signal, sag, swell, interruption, oscillatory transient, harmonics, sag with harmonics, swell with harmonics and flicker. One hundred and fifty samples are included for each distortion and feature.

Different Signal-to-Noise Ratios (SNRs) are included in the dataset: noiseless, 50 dB, 40 dB, 30 dB and 20 dB.

Instructions: 

The dataset is organized in 5 folders. Each folder contains data associated with a different SNR: noiseless, 50 dB, 40 dB, 30 dB and 20 dB. Data in different folders are not correlated. They are completely independent.

 

Each folder contains 9 CSV files. Each CSV file corresponds to a particular type of distortion: normal, sag, swell, interruption, oscillatory transient, harmonics, sag with harmonics, swell with harmonics and flicker.

 

Each file contains 8 columns. Each column contains data of a different feature: Column 1 is related to Feature 1, Column 2 is related to Feature 2 and so on. The features are numbered and described in the paper cited in the abstract of this dataset.

Each file also contains 150 rows. Each row is a different sample of the disturbances.

 

Data are not normalized.

Comments

-

Submitted by Ekin Ekinci on Sat, 03/14/2020 - 05:19

thanks

Submitted by Shivam Modi on Wed, 01/20/2021 - 14:14

thanks,
I was not able to unzip the the zip file. Both downloading from the current page and the aws.

Are the files corrupted?

Submitted by Orlem santos on Fri, 10/01/2021 - 14:18

Dataset Files

LOGIN TO ACCESS DATASET FILES

 

QUESTIONS?