Dataset Groups Activity Stream Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Things Two real-world datasets for condition monitoring and anomaly detection in rotating machines BibTex: @dataset{Soeren_Becker_and_Kevin_Styp-Rekowski_and_Oliver_Vincent_Leon_Stoll_and_Odej_Kao_2024, abstract = {Two real-world datasets for condition monitoring and anomaly detection in rotating machines}, author = {Soeren Becker and Kevin Styp-Rekowski and Oliver Vincent Leon Stoll and Odej Kao}, doi = {10.57702/m9f9dr18}, institution = {No Organization}, keyword = {'anomaly detection', 'condition monitoring', 'rotating machines', 'vibration sensor data'}, month = {dec}, publisher = {TIB}, title = {Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Things}, url = {https://service.tib.eu/ldmservice/dataset/federated-learning-for-autoencoder-based-condition-monitoring-in-the-industrial-internet-of-things}, year = {2024} }
