University of Oulu

Nissilä, J., Laurila, J., Ruotsalainen, K., & Liedes, T. (2022). Bearing defect and misalignment diagnostics using local regularity and sparse frequency analysis. In: Proceedings of The First SIMS EUROSIM Conference on Simulation and Modelling, SIMS EUROSIM 2021, and 62nd SIMS Conference on Simulation and Modelling SIMS 2021, September 21-23, Virtual Conference, Finland, pp. 171–179, https://doi.org/10.3384/ecp21185171

Bearing defect and misalignment diagnostics using local regularity and sparse frequency analysis

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Author: Nissilä, Juhani1; Laurila, Jouni1; Ruotsalainen, Keijo2;
Organizations: 1Intelligent Machines and Systems, University of Oulu, PO Box 4200, 90014 Oulu, Finland
2Applied and Computational Mathematics, University of Oulu, PO Box 4500, 90014 Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1.9 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2022050332200
Language: English
Published: Linköping University Electronic Press, 2022
Publish Date: 2022-05-03
Description:

Abstract

A local regularity signal can be estimated from a vibration measurement with the help of the continuous wavelet transform (CWT). The resulting local regularity signal contains a lot of diagnostic information about different faults states of a machine. It is also typically a sparse signal and thus not well suited for frequency analysis using the discrete Fourier transform (DFT). In this paper, the frequency analysis of the local regularity signal is performed using the Lomb-Scargle periodogram. Another possibility is to use the methods of compressed sensing. Vibration measurements from different fault states from test rigs are utilized in validating the proposed method and comparing it with other methods. The induced fault conditions include a bearing inner ring defect and misalignment of a claw clutch. The results are compared to more traditional spectra calculated directly from the vibration measurement, such as the spectrum of the squared envelope.

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Series: Linköping electronic conference proceedings
ISSN: 1650-3686
ISSN-E: 1650-3740
ISSN-L: 1650-3686
ISBN Print: 978-91-7929-219-5
DOI: 10.3384/ecp21185171
OADOI: https://oadoi.org/10.3384/ecp21185171
Host publication: Linköping Electronic Conference Proceedings : Proceedings of The First SIMS EUROSIM Conference on Modelling and Simulation, SIMS EUROSIM 2021, and 62nd International Conference of Scandinavian Simulation Society, SIMS 2021, September 21-23, Virtual Conference, Finland
Host publication editor: Juuso, Esko
Lie, Bernt
Dahlquist, Erik
Ruuska, Jari
Conference: SIMS EUROSIM 2021
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Copyright information: © 2022 Juhani Nissilä, Jouni Laurila, Keijo Ruotsalainen, Toni Liedes. This work is licensed under a Creative Commons Attribution 4.0 International License.
  https://creativecommons.org/licenses/by/4.0/