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2022 Tabular Data Fraunhofer SCAI
FAST Wind Turbine simulations for mass and aerodynamic imbalance detection

Lecei, Ivan

The dataset was created in order to be able to train machine learning models in the domain of wind energy, especially for the use cases of predictive maintenance / condition monitoring and anomaly detection. In the wind energy domain, one usually ...

2022 Other Fraunhofer IESE
Technology commitment of high responsibility teams

Elsenbast, Christian

The aim of the present study is to survey the technology commitment of dispatchers in fire and emergency centers, physicians and EMS professionals, and to develop a short scale for specific Technology Commitment with regard to intelligent systems,...

2022-04-11 Textual Data Fraunhofer UMSICHT
Mapping of samples – Fuels from Reliable Bio-based Refinery Intermediates: BioMates, Schulzke e...

Heil, Volker; Schulzke, Tim

In the H2020-project BioMates (www.biomates.eu, Grant Agreement No. 727463), Fraunhofer UMSICHT produced samples from ablative fast pyrolysis (AFP) of herbaceous biomass in a TRL 4-plant. A dedicated document provides identifiers for relevant liqu...

2022 Tabular Data Fraunhofer SCAI
Wind turbine gearbox simulation data

Climaco, Paolo; Garcke, Jochen et al.

Files containing acceleration signals, representing the vibration response of the modelled gearbox for three full rotations of the shaft. S={5,13} indicates the wind (W) speed considered in the simulation, while X={h,cr} indicates the health cond...

2022-01-31 Other Fraunhofer IPT
Reference data sets for the detection of anomalies in the manufacturing process of cutting machin...

Lowis, Steffen

The present data sets were created and published within the project "Glassist - Smart-Glass-based Assistance System for Machine Tools". The project is being carried out in collaboration with the project partners Nuromedia GmbH, Oculavis GmbH, Inno...

2021-05-14 Video Fraunhofer ITEM
Detection of Breathing Movements of Preterm Neonates by Recording Their Abdominal Movements with ...

Wiegandt, Felix C.; Biegger, David et al.

Recorded video data of abdominal movement of preterm neonates (clinical study, approval ID: 8584_BO_S_2019) using a time-of-flight camera. In the clinical study, five frame sequences at a duration of 90 s each were acquired with each of five prete...