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Gearbox Fault Feature Extraction Using Hilbert Transform, S-Transform, and a Statistical Indicator

  • Author(s) / Creator(s)
  • Vibration analysis has been widely used in machine fault feature extraction and diagnosis of rotating machinery. The effects of modulation and nonstationarity in vibration signals collected from a faulty gearbox present challenges for fault feature extraction. Hilbert transform and S-transform have the ability to address these issues through demodulation and time-frequency analysis, respectively. In this paper, we propose to use a feature indicator to represent the S-transform coefficients. The proposed method integrates the advantages of Hilbert transform, S-transform, and the proposed feature indicator (FI). The validity of the proposed method is verified with a simulated signal and real gearbox vibration signals. Comparison studies show that the proposed method is more effective and does not require the operators to have a lot of diagnostic experience.

  • Date created
    2007
  • Subjects / Keywords
  • Type of Item
    Article (Published)
  • DOI
    https://doi.org/10.7939/R3BC3T977
  • License
    © ASTM Int'l (all rights reserved). This article is open access and free to read, but not to redistribute without permission of ASTM.
  • Language
  • Citation for previous publication
    • Fan, X., and Zuo, M. (2007). Gearbox Fault Feature Extraction Using Hilbert Transform, S-Transform, and a Statistical Indicator. Journal of Testing and Evaluation, 35(5), 477-485.
  • Link to related item
    http://dx.doi.org/10.1520/JTE100758