Time-frequency analysis (TFA) for mechanical vibrations in non-stationary operations is the
main subject of this article, concisely written to be an introducing tutorial comparing different …

In nature and engineering world, the acquired signals are usually affected by multiple
complicated factors and appear as multicomponent nonstationary modes. In such and many …

Recently, a direct method of the time–frequency approach, called the signal separation
operator (SSO), which is based on sinusoidal signal approximation, was introduced to …

The objective of this paper is to introduce an innovative approach for the recovery of non-
stationary signal components with possibly crossover instantaneous frequency (IF) curves …

The local maximum synchrosqueezing chirplet transform (LMSSCT) is effective in
characterizing signals with strong frequency-modulation. One obstacle that significantly …

Real-world phenomena that can be formulated as signals are often affected by a number of
factors and appear as multi-component modes. To understand and process such …

The gear fault signal is characterized by strong and/or weak impulsive features and is often
accompanied by strong background noise, which makes the gear fault feature extraction …

The precise separation of multicomponent signals encounters numerous challenges due to
the complexity of signals and widespread interference. Synchrosqueezing Transform (SST) …

In nature and the technology world, acquired signals and time series are usually affected by
multiple complicated factors and appear as multi-component non-stationary modes. In many …

The synchrosqueezing transform (SST) was developed recently to separate the components
of non-stationary multicomponent signals. The continuous wavelet transform-based SST …