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

    Volume 35, Issue 5 (September 2007)

    ISSN: 0090-3973

    CODEN: JTEOAD

    Published Online: 30 April 2007

    Page Count: 9


    Fan, Xianfeng
    State Key Laboratory of Mechanical System and Vibration, Shanghai Jiaotong University, Shanghai

    Zuo, Ming J.
    Department of Mechanical Engineering, University of Alberta, Edmonton, Alberta

    (Received 11 August 2006; accepted 6 February 2007)

    Abstract

    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.


    Paper ID: JTE100758

    DOI: 10.1520/JTE100758

    ASTM International is a member of CrossRef.

    Author
    Title Gearbox Fault Feature Extraction Using Hilbert Transform, S-Transform, and a Statistical Indicator
    Symposium , 0000-00-00
    Committee E28