Aalto Shim Dataset

Aalto Shim Dataset

Description

Synthetic gear failure dataset for rotary machinery, specifically azimuthing thruster. Dataset consisting of vibrational data. The data has been collected using an 9:1 scaled azimuth thruster testbench with 11 sensors; 2 torque transducers, 4 accelerometers and 5 rotational encoders. 2 Bosch Rexroth motors used to drive and simulate load on the system. The sensors and motors were hooked up to National Instruments DAQs and LabVIEW software was used to control the whole system. Failures created by gluing shims onto pinion of bevel gear pairing.
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Year of publication

2024

Authors

Department of Energy and Mechanical Engineering

Zacharias Dahl - Creator

Mendeley Data - Publisher

Other information

Fields of science

Mechanical engineering

Open access

Open

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

Aalto Shim Dataset - Research.fi