An Adaptive Generalized S-Transform Algorithm for Seismic Signal Analysis

Jiang, Li; Shang, Wenqing; Jiao, Yudong; Xiang, Shizhao

doi:10.1109/access.2022.3227426

Cited by 6 publications

(1 citation statement)

References 27 publications

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“…Dispersion attribute studies of seismic waves require seismic data in different frequency bands, and hence time-frequency analysis of seismic data is required to obtain different frequency components [4]. Many methods can realize the spectral decomposition, such as Short Time Fourier Transform (STFT), Wavelet Transform (WT), S-transform, and Wigner-Ville distribution [5]- [6]. At present, the dispersion properties of seismic waves are usually studied without signal filtering during the time-frequency analysis process, and thus the attenuation and dispersion patterns of seismic waves are often difficult to be accurately identified due to the complexity of the stratigraphic structure.…”

Section: Introductionmentioning

confidence: 99%

Estimation of wave velocity and analysis of dispersion characteristics based on wavelet decomposition

Guo,

Dong,

Wang

et al. 2023

Vib. proced.

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Due to the complexity of the crustal medium and stratigraphic boundaries, seismic waves typically exhibit attenuation and dispersion after propagation through the medium. By studying the regularity of seismic wave dispersion, soil layer information can be extracted. Current spectral decomposition techniques take less account of signal filtering processing of seismic waves, and the complexity of the stratigraphy tends to reduce the accuracy of dispersion analysis. Based on the above, a new method for calculating the dispersion characteristics of a site from surface and downhole ground vibration recordings is proposed, which is simpler than the spectra analysis of surface waves (SASW) method and eliminates the need for multiple pickups and additional equipment. This method is based on wavelet decomposition and seismic wave filtering, and a numerical simulation example is established to verify the effectiveness of the method. Then, the records of the Tohoku earthquake on March 11, 2011 are used as actual strong earthquake examples for filtering and dispersion analysis. Finally, it is concluded that the seismic wave dispersion analysis method based on wavelet decomposition can effectively filter and analyze seismic waves in specific frequency bands.

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Section: Introductionmentioning

confidence: 99%

Estimation of wave velocity and analysis of dispersion characteristics based on wavelet decomposition

Guo,

Dong,

Wang

et al. 2023

Vib. proced.

View full text Add to dashboard Cite

show abstract

Time–frequency extracting transform and its applications in vibration signal processing

Wu,

Yang

2025

Measurement

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Research on power metering method for nonlinear loads in power system based on improved S-transform

Li,

2024

Meas. Sci. Technol.

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Traditional power metering algorithms are no longer suitable for new power systems to address the issue of distorted voltage and current waveforms caused by a growing number of nonlinear loads in modern power systems. The paper proposes a power-metering algorithm based on an Improved Stockwell Transform (IST). Based on the Stockwell Transform (ST), several parameters that can control the Gaussian window are introduced to improve the flexibility of the Gaussian window. Additionally, the inequality constraint based on the energy concentration measure is used to optimally select the best window parameters, enhancing the time-frequency domain analysis capability of the IST. The study uses IST to decompose and reconstruct the voltage and current fundamental characteristic signals and distortion characteristic signals in the power system. This provides good time resolution at low frequencies and good frequency-domain resolution at high frequencies. Power metering based on unsteady voltage and current is achieved by calculating the resulting fundamental and harmonic powers, respectively. The simulation results demonstrate that the IST-based power metering method has a higher level of accuracy than the existing metering methods.

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An Adaptive Generalized S-Transform Algorithm for Seismic Signal Analysis

Cited by 6 publications

References 27 publications

Estimation of wave velocity and analysis of dispersion characteristics based on wavelet decomposition

Estimation of wave velocity and analysis of dispersion characteristics based on wavelet decomposition

Time–frequency extracting transform and its applications in vibration signal processing

Research on power metering method for nonlinear loads in power system based on improved S-transform

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