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Classification of Mechanical Fault-Excited Events Based on Frequency

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Intelligent Technologies and Applications (INTAP 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1616))

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Abstract

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.

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Authors and Affiliations

  1. Department of Engineering Sciences, University of Agder (UiA), Jon Lilletuns vei 9, 4879, Grimstad, Norway

    Arild Bergesen Husebø, Huynh Van Khang, Kjell G. Robbersmyr & Andreas Klausen

Authors
  1. Arild Bergesen Husebø
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  2. Huynh Van Khang
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  3. Kjell G. Robbersmyr
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  4. Andreas Klausen
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Corresponding author

Correspondence to Arild Bergesen Husebø .

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Editors and Affiliations

  1. University of Agder (UiA), Grimstad, Norway

    Filippo Sanfilippo

  2. University of Agder (UiA), Grimstad, Norway

    Ole-Christoffer Granmo

  3. Norwegian University of Science and Technology (NTNU), Gjøvik, Norway

    Sule Yildirim Yayilgan

  4. The Islamia University of Bahawalpur (IUB), Bahawalpur, Pakistan

    Imran Sarwar Bajwa

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Husebø, A.B., Van Khang, H., Robbersmyr, K.G., Klausen, A. (2022). Classification of Mechanical Fault-Excited Events Based on Frequency. In: Sanfilippo, F., Granmo, OC., Yayilgan, S.Y., Bajwa, I.S. (eds) Intelligent Technologies and Applications. INTAP 2021. Communications in Computer and Information Science, vol 1616. Springer, Cham. https://doi.org/10.1007/978-3-031-10525-8_30

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  • DOI: https://doi.org/10.1007/978-3-031-10525-8_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-10524-1

  • Online ISBN: 978-3-031-10525-8

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