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A Novel Method for Remaining Useful Life Prediction of Bearing Based on Spectrum Image Similarity Measures

Author

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  • Bo Wu

    (School of Transportation Engineering, Jiangsu Vocational Institute of Architectural Technology, Xuzhou 221116, China)

  • Bo Zhang

    (School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, China)

  • Wei Li

    (School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Fan Jiang

    (School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China)

Abstract

Accurately predicting the remaining useful life (RUL) of bearing by analyzing vibration signals is challenging and meaningful. To address this issue, a novel method based on spectrum image similarity is proposed in this paper. First, spectrum images for the whole lifecycle data of reference bearings are obtained by performing fast Fourier transformation (FFT). Second, the similarity is calculated between the current monitored data of operating bearing and run-to-failure images of reference bearings. Then, the weights of reference bearings are derived based on the similarity measures. Finally, the RUL of the operating bearing is estimated with the weighted average of the RULs of referenced bearings. The proposed method is demonstrated based on 2012 PHM Data Challenge Competition data, which shows its effectiveness and practicality.

Suggested Citation

  • Bo Wu & Bo Zhang & Wei Li & Fan Jiang, 2022. "A Novel Method for Remaining Useful Life Prediction of Bearing Based on Spectrum Image Similarity Measures," Mathematics, MDPI, vol. 10(13), pages 1-10, June.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:13:p:2209-:d:847039
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    References listed on IDEAS

    as
    1. Zio, Enrico & Di Maio, Francesco, 2010. "A data-driven fuzzy approach for predicting the remaining useful life in dynamic failure scenarios of a nuclear system," Reliability Engineering and System Safety, Elsevier, vol. 95(1), pages 49-57.
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    Cited by:

    1. Dejan G. Ćirić & Zoran H. Perić & Nikola J. Vučić & Miljan P. Miletić, 2023. "Analysis of Industrial Product Sound by Applying Image Similarity Measures," Mathematics, MDPI, vol. 11(3), pages 1-27, January.

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