Rotating machinery faults can induce characteristic modulation effects in a vibration signal,
and their diagnosis can thus be conducted by extracting fault-induced modulation features …

Machining chatter has been studied by scholars over the past decades, since chatter has a
significant impact on surface quality and productivity. Researchers have carried out …

Hydraulic piston pump is known as one of the most critical parts in a typical hydraulic
transmission system. It is imperative to probe into an accurate fault diagnosis method to …

This paper puts forward a generalization of the short-time Fourier-based synchrosqueezing
transform using a new local estimate of instantaneous frequency. Such a technique enables …

Deep-learning-based health prognostics is receiving ever-increasing attention. Most existing
methods leverage advanced neural networks for prognostics performance improvement …

Some recent methods, like the empirical mode decomposition (EMD), propose to
decompose a signal accordingly to its contained information. Even though its adaptability …

While speech emotion recognition (SER) has been an active research field since the last
three decades, the techniques that deal with the natural environment have only emerged in …

This paper considers the analysis of multicomponent signals, defined as superpositions of
real or complex modulated waves. It introduces two new post-transformations for the short …

This article provides a general overview of time-frequency (TF) reassignment and
synchrosqueezing techniques applied to multicomponent signals, covering the theoretical …

Typical microseismic data recorded by surface arrays are characterized by low signal-to-
noise ratios (S/Ns) and highly nonstationary noise that make it difficult to detect small events …