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Arild Bergesen Husebø

PhD Research Fellow

D3063 ( Jon Lilletuns vei 9, Grimstad )

PhD Research Fellow in mechatronics with a B.Sc. and M.Sc. in renewable energy from UiA. Researches the use of machine learning for condition monitoring of electromechanical machinery.

Scientific publications

  • Husebø, Arild Bergesen; Kandukuri, Surya Teja; Klausen, Andreas; Huynh, Khang; Robbersmyr, Kjell Gunnar (2020). Rapid Diagnosis of Induction Motor Electrical Faults using Convolutional Autoencoder Feature Extraction. Proceedings of the European Conference of the Prognostics and Health Management Society (PHME). ISSN: 2325-016X. 5 (1).
  • Huynh, Khang; Pawlus, Witold; Husebø, Arild Bergesen (2019). Diagnosis of Incipient Bearing Faults using Convolutional Neural Networks. 2019 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD). ISBN: 978-1-5386-8107-7. IEEE conference proceedings. chapter. s 143 - 149.

Last changed: 7.12.2020 10:12