Time-frequency analysis (TFA) has attracted the attention of many scholars and engineers
for analyzing nonstationary signals in the field of condition monitoring of rotating machinery …

Many signals in the real world are nonlinear and complex, and signal time-frequency
analysis has been widely used in many fields. It remains a challenging task to accurately …

Predictive maintenance plays a crucial role in the field of intelligent machinery fault
diagnosis, which improves the efficiency of maintenance. This article focuses on the …

The characteristic components of faulty rolling bearing are submerged by noise and
interference components. The challenge of bearing incipient fault diagnosis is to accurately …

Some signals captured in practical applications are usually composed of a series of modes
that have multivalued time-dependent instantaneous frequency (IF), ie, transient signal …

The instantaneous frequency (IF)-based post-processing methods, synchrosqueezing and
synchroextracting, can accurately characterize the time-varying frequency and amplitude of …

The standard chirplet transform (CT) with the chirp-modulated Gaussian window provides a
valuable tool for analyzing linear chirp signals. The parameters present in the window …

Automobile power seats (APS) fault diagnosis method research is crucial for manufacturers
to adjust production strategies and improve economic efficiency. Although acoustic analysis …

Rolling bearing fault signals and other types of impulse signals present transient broadband
and fast time-varying characteristics in the time–frequency plane, which makes accurately …

Making weak repetitive pulses clearly appear in time–frequency distribution is essential for
detecting early failure of bearings. However, this operation is a challenging issue in fault …