Datasets › Digital twin-supported deep learning for fault diagnosis
Digital twin-supported deep learning for fault diagnosis
This is a dataset used to test deep learning-supported deep learning for fault diagnosis: - A digital twin model for a robot. - A synthetic data from the digital twin to train a deep learning-based fault diagnosis model. - A real dataset collected from the real robot to test the sim-to-real performance. Download the dataset from: https://nextcloud.centralesupelec.fr/s/7AR6aamBZNXcRM8/download
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Fault Diagnosis | Digital twin-supported deep learning for fault diagnosis | DANN Accuray 80.22 | A domain adaptation neural network for digital... | JialingRichard/Digital-Twin-Fault-Diagnosis | 2 | Compare |
Papers archive 2025-07-28
2 shown of 2 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 2. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| A domain adaptation neural network for digital twin-supported fault diagnosis | 1 | 1 | 27 May 2025 | not harvested |
| Use Digital Twins to Support Fault Diagnosis From System-level Condition-monitoring Data | 1 | 1 | 2 Nov 2024 | not harvested |
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
Variants archive 2025-07-28
- Digital twin-supported deep learning for fault diagnosis
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