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Fault Detection datasets

archive 2025-07-28

7 datasets carry the task tag "Fault Detection" (the task itself: Fault Detection), ordered by the archive's paper count. Page 1 of 1: 7 shown of 7. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Fault Detection datasets 1–7 of 7

The PRONOSTIA (also called FEMTO) bearing dataset consists of 17 accelerated run-to-failures on a small bearing test rig.
6 papers · 0 benchmarks
This paper presents a benchmark data set for condition monitoring of rolling bearings in combination with an extensive description of the corresponding bearing damage, the data set generation by experiments and results of datadriven…
3 papers · 0 benchmarks
Bearing acceleration data from three run-to-failure experiments on a loaded shaft.
2 papers · 0 benchmarks
Unbalance Classification Using Vibration Data (Vibration Measurements on a Rotating Shaft at Different Unbalance Strengths)
This dataset contains vibration data recorded on a rotating drive train.
2 papers · 0 benchmarks
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) |…
1 paper · 0 benchmarks
PRONTO (PRONTO heterogeneous benchmark dataset)
The PRONTO heterogeneous benchmark dataset is based on an industrial-scale multiphase flow facility.
1 paper · 1 benchmark
arxiv : https://arxiv.org/abs/2304.11708 Accepted at 29th International Congress on Sound and Vibration (ICSV29).
1 paper · 1 benchmark

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.