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Martin Hemmer

Stipendiat

Stipendiat

 
Kontor:
D3062 ( Jon Lilletuns vei 9, Grimstad )

Maskiningeniør fra HiOA, 2012. Master i Mekatronikk fra UiA, 2014.

Faglige interesser

Tilstandsovervåking, signalbehandling, diagnostikk

Prosjekter

Under PhD-utdanning med spesialisering i mekatronikk. Fokus på tilstandsovervåkning av store, saktegående kule- og rullelager.  

Medlem i dynamikk-forskergruppen. (https://www.uia.no/en/research/teknologi-og-realfag/ingenioervitenskap/dynamics)

Vitenskapelige publikasjoner

  • Hemmer, Martin Huynh, Khang Robbersmyr, Kjell Gunnar Waag, Tor Inge Meyer, Thomas (2018). Fault Classification of Axial and Radial Roller Bearings Using Transfer Learning through a Pretrained Convolutional Neural Network. Designs. ISSN: 2411-9660. doi:10.3390/designs2040056.
  • Hemmer, Martin Waag, Tor Inge (2017). A Comparison of Acoustic Emission and Vibration Measurements for Condition Monitoring of an Offshore Drilling Machine. PHM 2017 Proceedings of the Annual Conference of the Prognostics and Health Management Society 2017. ISBN: 978-1-936263-26-4. PHM Society. chapter.
  • Hemmer, Martin Robbersmyr, Kjell Gunnar Waag, Tor Inge Meyer, Thomas J. J. Albrigtsen, Rolf Pedersen, Torfinn Vercammen, Chloë (2018). Rib-Roller Wear in Tapered Rolling Element Bearings: Analysis and Development of Test Rig for Condition Monitoring.
  • Waag, Tor Inge Hemmer, Martin (2018). Observation and Processing of Instantaneous Frequency Variations during Bearing Tests.
  • Hemmer, Martin Waag, Tor Inge (2017). A Comparison of Acoustic Emission and Vibration Measurements for Condition Monitoring of an Offshore Drilling Machine.
  • Hemmer, Martin Waag, Tor Inge Robbersmyr, Kjell Gunnar (2017). A Review of Methods for Condition Monitoring of Large, Slow-rotating Bearings.

Sist endret: 17.10.2018 12:10

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