Dataset of single and double faults scenarios using vibration signals from a rotary machine

Authors

Larry Marshall, University of Arkansas, Fayetteville
David Jensen, University of Arkansas, FayettevilleFollow

Document Type

Article

Publication Date

8-2023

Keywords

Vibration; Bearings; Fault; Multiple faults

Abstract

This dataset includes vibration sensor data from accelerometers located on the support bearings on a rotary machine designed as a fault simulator. Data collection for known faulty components include: bearing inner and outer raceway faults and bent shaft. 38 singles and double fault scenarios and a one no fault scenario were collected at three different operating frequencies (shaft rpm). Data was collected for approximately 10 seconds per scenario at a rate of 6400 hertz. Data can be used for machine learning classification.

Comments

Data identification number: DOI:https://doi.org/10.6084/m9.figshare.22693120.v1
Direct URL to data:
https://figshare.com/articles/dataset/Single_and_Double_Fault_Scenarios_for_a_Rotary_Machine/22693120
Citation: Jensen, David (2023). Single and Double Fault Scenarios for a Rotary Machine. figshare. Dataset. https://doi.org/10.6084/m9.figshare.22693120.v1

Citation

Marshall, L., & Jensen, D. (2023). Dataset of single and double faults scenarios using vibration signals from a rotary machine. Data In Brief, 49, 109358. https://doi.org/10.1016/j.dib.2023.109358

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.