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

• Author(s) / Creator(s)

  • Fan, Xianfeng
  • Zuo, Ming J.

• 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

  • S-Transform
  • Feature Indicator
  • Hilbert Transform
  • Gearbox
  • Fault Features Extraction

• 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.