Feasibility Study of the GST-SVD in Extracting the Fault Feature of Rolling Bearing under Variable Conditions

Feasibility Study of the GST-SVD in Extracting the Fault Feature of Rolling Bearing under Variable Conditions

Abstract Feature information extraction is one of the key steps in prognostics and health management of rotating machinery. In the present study, an investigation about the feasibility of a methodology based on generalized S transform (GST) and singular value decomposition (SVD) methods for feature...

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Bibliographic Details
Main Authors: Xiangnan Liu, Xuezhi Zhao, Kuanfang He
Format: Article
Language:English
Published: SpringerOpen 2022-11-01
Series:Chinese Journal of Mechanical Engineering
Subjects:
Feature extraction
Generalized Stockwell transform
Singular value decomposition
Principal component analysis
Online Access:https://doi.org/10.1186/s10033-022-00806-0

Internet

https://doi.org/10.1186/s10033-022-00806-0

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