Hemmer, Martin
295  Ergebnisse:
Personensuche X
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2

Observation and Processing of Instantaneous Frequency Varia..:

, In: Engineering Assets and Public Infrastructures in the Age of Digitalization; Lecture Notes in Mechanical Engineering,
Waag, Tor Inge ; Hemmer, Martin - p. 731-739 , 2020
 
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3

Rib-Roller Wear in Tapered Rolling Element Bearings: Analys..:

, In: Engineering Assets and Public Infrastructures in the Age of Digitalization; Lecture Notes in Mechanical Engineering,
Hemmer, Martin ; Robbersmyr, Kjell G. ; Waag, Tor I.... - p. 750-757 , 2020
 
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Health Indicator for Low-speed Axial Bearings using Variati..:

Hemmer, Martin ; Klausen, Andreas ; Huynh, Khang..
Hemmer, M., Klausen, A., Huynh, K., Robbersmyr, K. G. & Waag, T. I. (2020). Health Indicator for Low-speed Axial Bearings using Variational Autoencoders. IEEE Access, 8, 35842-35852. doi:.  , 2020
 
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Simulation-driven Deep Classification of Bearing Faults fro..:

Hemmer, Martin ; Klausen, Andreas ; Huynh, Khang..
International Journal of Prognostics and Health Management. 2019, 10 ..  , 2019
 
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Simulation-driven Deep Classification of Bearing Faults fro..:

Hemmer, Martin ; Klausen, Andreas ; Huynh, Khang..
Hemmer, M., Klausen, A., Huynh, K., Robbersmyr, K. G. & Waag, T. I. (2019). Simulation-driven Deep Classification of Bearing Faults from Raw Vibration Data. International Journal of Prognostics and Health Management, 10(Special Issue on Deep Learning and Emerging Analytics): 030. Retrieved from http://www.phmsociety.org/references/ijphm-archives/2019/Sp11.  , 2019
 
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