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Aalto Shim Dataset

  • Zacharias Dahl (Creator)

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.
Date made available28 Aug 2024
PublisherMendeley Data

Dataset Licences

  • CC-BY-4.0
  • 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., Dec 2024, In: Data in Brief. 57, 18 p., 111171.

    Research output: Contribution to journalData ArticleScientificpeer-review

    Open Access
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    7 Citations (Scopus)
    156 Downloads (Pure)

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