In many applications, it is necessary to retrieve the sub-signal building blocks of a multi-component signal, which usually non-stationary in real-world and real-life applications. Empirical mode decomposition (EMD), synchrosqueezing transform (SST), signal separation operation (SSO), iterative filtering (IFD) have been proposed developed for this purpose. However, these computational methods a...

The extraction of oscillatory components and their properties from different time-frequency representations, such as windowed Fourier transform and wavelet transform, is an important topic in signal processing. The first step in this procedure is to find an appropriate ridge curve: a sequence of amplitude peak positions (ridge points), corresponding to the component of interest. This is not a t...

Wind turbines usually operate under nonstationary conditions, such as wide-range speed fluctuation and time-varying load. Its critical component, the planetary gearbox, is prone to malfunction or failure, which leads to downtime and repair costs. Therefore, fault diagnosis and condition monitoring for the planetary gearbox in wind turbines is a vital research topic. Meanwhile, the signals measu...

Variations of instantaneous heart rate appears regularly oscillatory in deeper levels of anesthesia and less regular in lighter levels of anesthesia. It is impossible to observe this “rhythmic-to-non-rhythmic” phenomenon from raw electrocardiography waveform in current standard anesthesia monitors. To explore the possible clinical value, I proposed the adaptive harmonic model, which fits the de...

Deep neural networks are used as effective methods for the Low Probability of Intercept (LPI) radar waveform recognition. However, existing models’ performance degrades seriously at low Signal-to-Noise Ratios (SNRs) because features extracted by insufficient under noise jamming. In this paper, we propose a multi-resolution deep feature fusion method LPI First, apply enhanced Fourier-based Synch...

In nature and engineering world, the acquired signals are usually affected by multiple complicated factors appear as multicomponent nonstationary modes. such many other situations, it is necessary to separate these into a finite number of monocomponents represent intrinsic modes underlying dynamics implicated in source signals. this paper, we consider mode retrieval signal which has crossing in...

This study aims to develop a track-side online monitoring system for malfunction detection in the suspension controllers of maglev trains during their in-service operation. The hardware module includes two arrays accelerometers deployed on an F-type rail and data acquisition unit. software consists codes three functions: (i) identification time intervals relation passage each controller via syn...