Datasets › Digital twin-supported deep learning for fault diagnosis

Digital twin-supported deep learning for fault diagnosis

Introduced by Killian Mc Court et al. in Use Digital Twins to Support Fault Diagnosis From System-level Condition-monitoring Data2 Nov 2024 archive 2025-07-28

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)PaperCode
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.

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.

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