Bearings fault diagnosis under variable speed conditions by hypothesis-based FRFT technique
Lingli Cui,
Wei Fan,
Xinyuan Zhao
et al.
Abstract:The vibration signals of faulty bearings under non-stationary conditions are inherently 
multi-component and time-varying, which presents a challenge for effective fault diagnosis. Considering the vibration characteristics of rolling bearings under non-stationary conditions and taking advantage of the FRFT, a novel diagnosis method based on the hypothesis-based FRFT has been proposed to separate the fault components. First, the fault characteristic frequencies (FCFs) are extracted from the time-frequen… Show more
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