Datasets › Centrifugal Pump Fault Detection

Centrifugal Pump Fault Detection

Introduced by Mahdi Abdollah Chalaki et al. in An Intelligent Approach to Detecting Novel Fault Classes for Centrifugal Pumps Based on Deep CNNs and Unsupervised Methods1 Sep 2022 archive 2025-07-28

Dataset Overview

The dataset used for training and testing consists of vibration signals for six pump conditions:

Fault Type Training Samples Testing Samples Flow Range (L/min)
Healthy 1460 360 170 - 220
Low Flow Rate 1120 280 80 - 120
Cavitation 1440 360 120 - 170
Major Defect 1440 360 150 - 200
Minor Defect 1040 360 130 - 160
Crack 1280 320 150 - 200

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • Centrifugal Pump Fault Detection

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections