{"url":"/dataset/centrifugal-pump-fault-detection","name":"Centrifugal Pump Fault Detection","full_name":null,"description_markdown":"## Dataset Overview\r\n\r\nThe dataset used for training and testing consists of vibration signals for six pump conditions:\r\n\r\n| Fault Type        | Training Samples | Testing Samples | Flow Range (L/min) |\r\n|------------------|-----------------|----------------|------------------|\r\n| Healthy          | 1460             | 360            | 170 - 220        |\r\n| Low Flow Rate    | 1120             | 280            | 80 - 120         |\r\n| Cavitation       | 1440             | 360            | 120 - 170        |\r\n| Major Defect     | 1440             | 360            | 150 - 200        |\r\n| Minor Defect     | 1040             | 360            | 130 - 160        |\r\n| Crack            | 1280             | 320            | 150 - 200        |","description_withheld":null,"homepage":"","introduced_date":"2022-09-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/an-intelligent-approach-to-detecting-novel","title":"An Intelligent Approach to Detecting Novel Fault Classes for Centrifugal Pumps Based on Deep CNNs and Unsupervised Methods","first_author":"Mahdi Abdollah Chalaki","url":null},"license":null,"modalities":[{"name":"Time series","url":"/datasets/modality/time-series"}],"tasks":[{"name":"Fault Detection","url":"/task/fault-detection","datasets_with_task":"/datasets/task/fault-detection"}],"languages":[],"variants":["Centrifugal Pump Fault Detection"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}