MCSA-DC
Motor Current Signature Analysis Data Center
Overview
The MCSA-DC is a website created by researchers from the LIAS Laboratory of the University of Poitiers. It provides access to test data from the laboratory's experimental benches. The objective is to share data in the field of electrical machines monitoring from electrical measurements (Electrical Signal Analysis - ESA).
The data is downloadable in CSV format. A descriptive file (type of test, experimental conditions, organization of data) is provided for each download.
This site is scalable and will provide, in the future, data on additional test benches.
Apparatus
Test Bench 1: Induction motor - Rotor bar failure
- Motor
- 400V-50Hz/1.1 kW/1425rpm
- Supply : Direct
- Rotor
- Healthy
- 1 broken bar (rotor drilling)
- 2 broken bar
- Measurements (in this order)
- Time in second
- Stator Currents (isa, isb, isc) in Ampere
- Stator Voltages (Vsa, Vsb, Vsc) in Volt
- Speed in rad/s
- Rotor mechanical position in rad
| Speed (RPM) / fault | Healthy | 1 broken bar | 2 broken bars |
|---|---|---|---|
| low(1432-1439) | ccs0.csv-ccs17.csv | ccs60.csv-ccs67.csv | ccs120.csv-ccs127.csv |
| medium(1458-1468) | ccs20.csv-ccs37.csv | ccs80.csv-ccs97.csv | ccs140.csv-ccs147.csv |
| high(1490-1492) | ccs40.csv-ccs57.csv | ccs100.csv-ccs117.csv | ccs160.csv-ccs177.csv |
Download
Test Bench 1: Induction motor - Rotor bar failure
- Version 1 (2023): mcsadc-motor-rotorbarfailure-1_2023.tar.gz
Licence
If you intend to use this dataset in your article please cite the following article
Boushaba, A.; Cauet, S.; Chamroo, A.; Etien, E.; Rambault, L. Comparative Study between Physics-Informed CNN and PCA in Induction Motor Broken Bars MCSA Detection. Sensors 2022, 22, 9494. https://doi.org/10.3390/s22239494
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This licence allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.