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Permanent link (DOI): https://doi.org/10.7939/R3BC3T977
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Gearbox Fault Feature Extraction Using Hilbert Transform, S-Transform, and a Statistical Indicator Open Access
- Author or creator
Zuo, Ming J.
- Additional contributors
Fault Features Extraction
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- Journal Article (Published)
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.
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- © ASTM Int'l (all rights reserved). This article is open access and free to read, but not to redistribute without permission of ASTM.
- 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.
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File title: Gearbox Fault Feature Extraction Using Hilbert Transform, S-Transform, and a Statistical Indicator
File author: Fan Xianfeng, Zuo Ming
Page count: 9