Data for: Forecasting the power consumption of a rotor spinning machine from imbalanced data with an adaptive SE-CNN

Name: Data for: Forecasting the power consumption of a rotor spinning machine from imbalanced data with an adaptive SE-CNN
Creator: Chuqiao Xu
Published: 2021-04-26T17:12:11.928Z
Keywords: Textile Engineering

Xu, Chuqiao

doi:10.17632/xmfp5bt3wb.3

Data for: Forecasting the power consumption of a rotor spinning machine from imbalanced data with an adaptive SE-CNN

Published: 26 April 2021| Version 3 | DOI: 10.17632/xmfp5bt3wb.3

Contributor:

Chuqiao Xu

Description

The data are recorded every 8 hours from 36 rotor spinning machines. There are 897 data records after removing the invalid and repetitive data, containing 829 normal data samples and 68 abnormal data samples. Each record including the 16 input parameters and the corresponding measured specific power consumption.

Data for: Forecasting the power consumption of a rotor spinning machine from imbalanced data with an adaptive SE-CNN

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