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Volume 35, Issue 5 (April 2007)
Gearbox Fault Feature Extraction Using Hilbert Transform, S-Transform, and a Statistical Indicator
(Received 11 August 2006; accepted 6 February 2007)
Published Online: 30 April 2007
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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.
State Key Laboratory of Mechanical System and Vibration,
Shanghai Jiaotong University, Shanghai
Zuo, Ming J.
Department of Mechanical Engineering, University of
Alberta, Edmonton, Alberta
Stock #: JTE100758
Title Gearbox Fault Feature Extraction Using Hilbert Transform, S-Transform, and a Statistical Indicator