{"url":"/dataset/digital-twin-supported-deep-learning-for","name":"Digital twin-supported deep learning for fault diagnosis","full_name":null,"description_markdown":"This is a dataset used to test deep learning-supported deep learning for fault diagnosis:\r\n- A digital twin model for a robot.\r\n- A synthetic data from the digital twin to train a deep learning-based fault diagnosis model.\r\n- A real dataset collected from the real robot to test the sim-to-real performance.\r\nDownload the dataset from: https://nextcloud.centralesupelec.fr/s/7AR6aamBZNXcRM8/download","description_withheld":null,"homepage":"https://github.com/sonic160/dtr_digital_model_simulink","introduced_date":"2024-11-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/use-digital-twins-to-support-fault-diagnosis","title":"Use Digital Twins to Support Fault Diagnosis From System-level Condition-monitoring Data","first_author":"Killian Mc Court","url":null},"license":null,"modalities":[{"name":"Time series","url":"/datasets/modality/time-series"}],"tasks":[{"name":"Classification","url":"/task/classification-1","datasets_with_task":"/datasets/task/classification-1"},{"name":"Domain Adaptation","url":"/task/domain-adaptation","datasets_with_task":"/datasets/task/domain-adaptation"},{"name":"Transfer Learning","url":"/task/transfer-learning","datasets_with_task":"/datasets/task/transfer-learning"},{"name":"Fault Diagnosis","url":"/task/fault-diagnosis","datasets_with_task":"/datasets/task/fault-diagnosis"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Digital twin-supported deep learning for fault diagnosis"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/fault-diagnosis-on-digital-twin-supported","task":"Fault Diagnosis","dataset_variant":"Digital twin-supported deep learning for fault diagnosis","rows":2,"metrics":["Accuray"],"first_row_in_archive_order":{"model":"DANN","paper":"/paper/a-domain-adaptation-neural-network-for","metrics":{"Accuray":"80.22"},"code_links":[{"title":"JialingRichard/Digital-Twin-Fault-Diagnosis","url":"https://github.com/JialingRichard/Digital-Twin-Fault-Diagnosis"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/a-domain-adaptation-neural-network-for","title":"A domain adaptation neural network for digital twin-supported fault diagnosis","date":"2025-05-27","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/use-digital-twins-to-support-fault-diagnosis","title":"Use Digital Twins to Support Fault Diagnosis From System-level Condition-monitoring Data","date":"2024-11-02","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"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."}