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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

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Author or creator
Fan, Xianfeng
Zuo, Ming J.
Additional contributors
Subject/Keyword
Gearbox
Fault Features Extraction
S-Transform
Hilbert Transform
Feature Indicator
Type of item
Journal Article (Published)
Language
English
Place
Time
Description
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
DOI
doi:10.7939/R3BC3T977
License information

Rights
© 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 format: pdf (Portable Document Format)
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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
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