With widespread non-linear loads and the increasing penetration of distributed generations in power system, harmonic pollution has become a great concern. The causes not only include integer harmonics, but also interharmonics, which exacerbate complexity analysis. In addition, output variability highly renewables such as electric arc furnaces photovoltaic solar or wind generation may lead to we...

This study proposes a high-resolution processing technique for seismic data based on the improved synchrosqueezing transform (SST). The SST rearranges complex spectrum of wavelet along frequency axis. However, energy is not concentrated in position with faster change rate. To overcome these problems, proposed method first transformed signal into an analytical one via Hilbert transformation and ...

In this paper, our goal is to investigate local chirp rate (CR) estimation in noisy multicomponent signals. The focus put on improving a specific type of CR estimator used the second order synchrosqueezing transform, which proves be very inaccurate presence noise. More precisely, noise creates spurious oscillations estimate, and we first emphasis terms responsible for these oscillations. Then p...

In the field of nonstationary signal analysis and processing, short-time Fourier transform (STFT) is frequently used to convert signals into time-frequency domain. The instantaneous frequency (IF) STFT defined as time derivative phase plays an important role in reassignment method synchrosqueezing (SST). this paper, we propose a framework design window function for computing IF STFT. Computing ...

The increase in the complexity of modern electronic products has brought significant challenges to fault diagnosis circuits, and current methods have problems such as long identification time, inaccurate positioning, low diagnostic efficiency. In response these situations. This paper proposes a method for circuits combining synchronous synchrosqueezing wavelet transform (SWT), deep convolutiona...

Seismic waves are non-stationary due to its propagation through the earth. Time-frequency transforms are suitable tools for analyzing non-stationary seismic signals. Spectral decomposition can reveal the non-stationary characteristics which cannot be easily observed in the time or frequency representation alone. Various types of spectral decomposition methods have been introduced by some resear...