The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/2b61183e-c14f-4131-829b-cc4822c369d0

Bruinsma, Sietze; Geertsma, Rinze; Loendersloot, Richard; Tinga, Tiedo (2024): NLN-EMP - Motor Current and Vibration Monitoring Dataset for various Faults in an E-motor-driven Centrifugal Pump. Version 4. 4TU.ResearchData. dataset. https://doi.org/10.4121/2b61183e-c14f-4131-829b-cc4822c369d0.v4

Version 3 - 2024-02-19 Version 2 - 2023-12-18 Version 1 - 2023-10-23

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Categories

• Artificial Intelligence and Image Processing
• Mechanical Engineering
• Electrical and Electronic Engineering
• Engineering
• Information and Computing Sciences

Keywords

Bearings Condition Based Maintenance Fault Detection Fault Identification Induction Motor Motor Current Signature Analysis Variable Frequency Drive Vibration Analysis

Licence

CC0

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by Sietze Bruinsma , Rinze Geertsma , Richard Loendersloot , Tiedo Tinga

Netherlands Navy E-motor Pump (NLN-EMP) dataset.

This dataset contains experimental vibration and motor current and voltage data of an electric motor pump set up, acquired at Fieldlab Techport as part of a research effort of the Royal Netherlands Navy. The experiments consist of measurements with a wide variety of faults, distributed over 2 set ups. One setup was operated at three different speeds, the other setup was operated at a single speed. The majority of faults were applied in multiple levels of severity.

History

• 2023-10-23 first online

• 2024-08-05 published, posted

Publisher

4TU.ResearchData

Format

7zipped csv

Associated peer-reviewed publication

Motor Current and Vibration Monitoring Dataset for various Faults in an E-motor-driven Centrifugal Pump

Funding

• Royal Netherlands Navy Royal Netherlands Navy

Organizations

Royal Netherlands Navy;
University of Twente;
Fieldlab Techport