https://fordatis.fraunhofer.de/handle/fordatis/61 2026-05-01T16:19:41Z 2026-05-01T16:19:41Z Watson, Warren Wolken-Möhlmann, Gerrit Gottschall, Julia https://fordatis.fraunhofer.de/handle/fordatis/457 2026-01-29T08:36:31Z 2025-04-03T00:00:00Z

Titel: Evaluating the Impact of Motion Compensation on Turbulence Intensity Measurements from Continuous-Wave and Pulsed Floating Lidars Datenautorinnen und Datenautoren: Watson, Warren; Wolken-Möhlmann, Gerrit; Gottschall, Julia Zusammenfassung: These datasets accompany the WES preprint: Watson, Wolken-Möhlmann & Gottschall (2025), Evaluating the Impact of Motion Compensation on Turbulence Intensity Measurements from Continuous-Wave and Pulsed Floating Lidars (DOI: 10.5194/wes-2025-45). They cover the FINO3 campaign (German North Sea; 10-min aggregation; wind sector 220°–300°) and compare raw vs motion-compensated TI from a floating ZX300M (cw) and a floating Windcube V2.1 (pulsed) together with a fixed ZX300M reference at 101 m, against Met Mast Cup TI from 101 m.; File 1 — Binned statistics (public) Title: Binned TI statistics at 101 m (raw vs motion-compensated) with fixed lidar reference What’s inside: Wind-speed–binned (0.5 m s⁻¹) TI metrics from the analysis period 2024-04-06 to 2024-07-09: mean, min, max, std, Q90, count, MBE/RMBE, RMSE/RRMSE, representative TI error. Instruments: Floating ZX300M (cw), floating Windcube V2.1 (pulsed), fixed ZX300M. Columns: WLBZ6_Raw, WLBZ6_Compensated_TI, WLBW4_Raw, WLBW4_Compensated_TI, FINO3_Fixed_Lidar. Processing: Deterministic motion compensation for LoS tilt/rotation and platform surge/sway/heave/tilt.; File 2 - 10-minute time series data Title: TI time series at 101 m (raw vs motion-compensated) with fixed lidar reference What’s inside: Underlying 10-min TI used for File 1. Instruments: Floating ZX300M (cw), floating Windcube V2.1 (pulsed), fixed ZX300M. Columns: WLBZ6_Raw_TI_101_m, WLBZ6_Compensated_TI_101_m, WLBW4_Raw_TI_101_m, WLBW4_Compensated_TI_101_m, FINO3_Fixed_Lidar_TI_101_m. Processing: Deterministic motion compensation for LoS tilt/rotation and platform surge/sway/heave/tilt. Access: Repository record and metadata are public and citable. Files are temporarily restricted due to ongoing commercial use in a third-party Stage-3 maturity certification. Non-commercial research access may be granted on request under a mutual Data Use Agreement (DUA). Terms will be reviewed after certification completion and, if certification is not granted, annually thereafter. How to request: Email the corresponding author (warren.watson@iwes.fraunhofer.de) with institution, non-commercial purpose, intended analyses/outputs, and requested period.

2025-04-03T00:00:00Z Blechschmidt, Eike Hohmann, Michael Menck, Oliver https://fordatis.fraunhofer.de/handle/fordatis/378 2024-01-18T02:30:28Z 2024-01-01T00:00:00Z

Titel: Data for the prediction of the friction torque of scaled blade bearings in a test rig using machine learning Datenautorinnen und Datenautoren: Blechschmidt, Eike; Hohmann, Michael; Menck, Oliver Zusammenfassung: Measurement data and python scripts for machine learning models of the friction torque in a test rig for scaled blade bearings ("BEAT1.1"). Measurement data is given as .parquet-files for several different bearing combinations. A Jupyter Notebook for the models is included.

2024-01-01T00:00:00Z Stammler, Matthias https://fordatis.fraunhofer.de/handle/fordatis/317 2023-08-10T01:30:24Z 2023-01-01T00:00:00Z

Titel: Time Series of wear test for roller-type pitch bearings of wind turbines Datenautorinnen und Datenautoren: Stammler, Matthias Zusammenfassung: This data set contains time series and additional information for a test program for pitch bearings of wind turbines. The program covers two distinct operational scenarios: the standstill of the bearing under rated speed and the active pitch cycles caused by the IPC. It is designed for rollerr-type pitch bearings, but can be applied to toher pitch bearings as well. It bases upon the aero-elastic simulation time series (see links).

2023-01-01T00:00:00Z Popko, Wojciech https://fordatis.fraunhofer.de/handle/fordatis/187 2020-12-16T02:30:36Z 2019-01-01T00:00:00Z

Titel: Aero-Elastic Simulation Time Series of IWT7.5 Reference Turbine Datenautorinnen und Datenautoren: Popko, Wojciech Zusammenfassung: This set of time series comprises simulation time series of the IWT7.5 reference wind turbine (Revision 2.5) with an IPC controller. The turbine model is available online (first reference), a detailed description of the controller is part of the second reference. The signals of the files are WindSpeed, ElectricalPower, and pitch angles and loads of three blades.

2019-01-01T00:00:00Z