In addition, determination of the TMSST algorithm parameters depends on the personnel’s subjective experience. It is difficult to extract the accurate time−frequency (TF) fault feature of the axle bearing under a complex working environment. However, TMSST TFR results are subject to noise interference. Time-reassigned multisynchrosqueezing transform (TMSST), as a novel time−frequency representation (TFR) algorithm, is more suitable for dealing with strong frequency-varying signals. In recent decades, time−frequency analysis (TFA) techniques have been widely used in mechanical equipment fault diagnoses. Fault detection of axle bearings is crucial to promote the safe, efficient, and reliable running of high-speed trains.
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