Processed calibration data sets (20 steps) for torque estimation in Wind Turbine Gearboxes Using Fiber Optical Strain Sensors

doi: 10.4121/14891910.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/14891910
Datacite citation style:
Gutierrez Santiago, Unai (2021): Processed calibration data sets (20 steps) for torque estimation in Wind Turbine Gearboxes Using Fiber Optical Strain Sensors. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/14891910.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
The 20 data sets contain the processed data used for the calibration phase of the method presented in the paper "Input Torque Measurements for Wind Turbine Gearboxes Using Fiber Optical Strain Sensors":

There are 20 data sets, one for each torque level from 5% torque (005T file) to 100% torque (100T).

Each data sets includes the following variables:
-str_fos: strain from the 54 fiber optical strain sensors
-t_fos: time associated to strain data
-LSS_taco: data from inductive sensor at low-speed shaft (once per revolution pulse)
-HSS_M1_torque: torque data from test bench torque transducer at position 1.
-HSS_M2_torque: torque data from test bench torque transducer at position 2.
-t_dq: time associated to analogue signals LSS_taco, HSS_M1 and HSS_M2.
history
  • 2021-07-07 first online, published, posted
publisher
4TU.ResearchData
format
Matlab .mat files
organizations
TU Delft, Faculty of Mechanical, Maritime and Materials Engineering, Delft Center for Systems and Control.

DATA - restricted access

Reason

Due to confidentiality agreements with research collaborators, research data supporting this publication can only be made available to bona fide researchers subject to a non-disclosure agreement.

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