Tutkimustuotoksia vuodessa
Tutkimustuotoksia vuodessa
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.
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.
| Koska saatavilla | 28 elok. 2024 |
|---|---|
| Julkaisija | Mendeley Data |
Dataset Licences
- CC-BY-4.0
Tutkimustuotos
- 1 Data Article
-
Aalto Gear Fault datasets for deep-learning based diagnosis
Dahl, Z., Hämäläinen, A., Karhinen, A., Miettinen, J., Böhme, A., Lillqvist, S., Haikonen, S. & Viitala, R., jouluk. 2024, julkaisussa: Data in Brief. 57, 18 Sivumäärä, 111171.Tutkimustuotos: Lehtiartikkeli › Data Article › Scientific › vertaisarvioitu
Open accessTiedosto