Arild Bergesen Husebø

• Husebø, Arild Bergesen; Huynh, Khang; Robbersmyr, Kjell Gunnar & Klausen, Andreas (2022). Classification of Mechanical Fault-Excited Events Based on Frequency. I Sanfilippo, Filippo; Granmo, Ole-Christoffer; Yayilgan, Sule Yildirim & Bajwa, Imran Sarwar (Red.), Intelligent Technologies and Applications: 4th International Conference, INTAP 2021, Grimstad, Norway, October 11–13, 2021, Revised Selected Papers. Springer. ISSN 9783031105241. s. 380–392. doi: 10.1007/978-3-031-10525-8_30. Fulltekst i vitenarkiv Vis sammendrag

  We propose a method for classifying periodic events generated at one or multiple frequencies on any one-dimensional space. This is very useful in problems where you need to find the type of event based on observations of location, e.g. in time. For each frequency, all events are mapped into periodic axes, which are represented independently of each other. Using an expectation-maximization algorithm, we can fit distributions to the events and classify them using maximum likelihood. The proposed method is applied to two mechanical faulty cases: a defect rolling-element bearing, and a gearbox with defect teeth. We show very good classification results in cases of multiple event types of similar frequency, multiple event types of different frequencies, and combinations of the two for artificially generated events.

• Husebø, Arild Bergesen; Klausen, Andreas; Huynh, Khang & Robbersmyr, Kjell Gunnar (2021). A Simple Time Domain-Based Method for Estimating the Resonance Frequency of a Bearing, 2021 24th International Conference on Electrical Machines and Systems (ICEMS). IEEE (Institute of Electrical and Electronics Engineers). ISSN 9788986510218. doi: 10.23919/ICEMS52562.2021.9634452. Fulltekst i vitenarkiv
• 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). 5(1). Fulltekst i vitenarkiv
• Husebø, Arild Bergesen; Huynh, Khang & Pawlus, Witold (2019). Diagnosis of Incipient Bearing Faults using Convolutional Neural Networks, 2019 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD). IEEE (Institute of Electrical and Electronics Engineers). ISSN 9781538681077. s. 143–149. doi: 10.1109/WEMDCD.2019.8887785. Fulltekst i vitenarkiv

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• Husebø, Arild Bergesen; Huynh, Khang; Robbersmyr, Kjell Gunnar & Klausen, Andreas (2021). Classification of Mechanical Fault-Excited Events based on Frequency. Fulltekst i vitenarkiv

Se alle arbeider i NVA