Matching Demodulation Synchrosqueezing S Transform and its Application in Seismic Time–Frequency Analysis

Wang, Qian; Li, Yexue; Chen, Shijun; Tang, Bo

doi:10.1109/lgrs.2020.3047892

Cited by 9 publications

(3 citation statements)

References 19 publications

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“…In [83], the ST tool is used for accurate scanning of PP and PS waves. Again, the synchrosqueezing generalized ST was recently used in [84] for seismic timefrequency analysis with matching demodulation as a preprocessing step. In [85], a novel multisynchrosqueezing generalized ST was implemented for the accurate recognition of tight sandstone gas reservoir.…”

Section: Miscellaneous Applications Of Standard and Modified Stsmentioning

confidence: 99%

A Comprehensive Overview on Modified Versions of Stockwell Transform For Power Quality Monitoring

Kumar¹,

Saxena²,

Kumar

et al. 2022

IEEE Access

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The increasing trends toward the accurate identification of power quality disturbances (PQD) via power quality (PQ) monitoring require an appropriate digital signal processing (DSP) technique and a robust classifier. To this end, Stockwell transform (ST), one of the most efficient feature extraction DSP tools, and its several variants play an utmost role in PQ assessment framework. Its time-varying spectral characteristics generally extract the local instantaneous frequency spectrum from the global temporary behavior of PQD signal. However, the Standard ST suffers from thepoor time-frequency resolution because of its frequency-dependent Gaussian window (GW). While the analysis of the statistically time-varying signals requires a suitable balance between time and frequency resolution. To this end, this paper provides a comprehensive literature review on several modified versions of Standard ST for the first time to reduce the computational complexity of the algorithm as well as maximize the energy concentration of the timefrequency plane. A comparative analysis of all the modified STs has been presented in tabular form to provide the key characteristics of each technique. Additionally, a case study has been presented to substantiate the highest accuracy of the proposed algorithm over the other ST variants. Apart from the PQD classification, miscellaneous applications of Standard ST and its modified variants have been indicated. This review paper may provide a valuable resource to the researchers for further improvement of the timefrequency resolution of ST not only in classifying PQD but also for its other wide applications.INDEX TERMSEnergy concentration, power quality monitoring, power quality disturbance, Stockwell transform, time-frequency analysis.

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Section: Miscellaneous Applications Of Standard and Modified Stsmentioning

confidence: 99%

A Comprehensive Overview on Modified Versions of Stockwell Transform For Power Quality Monitoring

Kumar¹,

Saxena²,

Kumar

et al. 2022

IEEE Access

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show abstract

“…Developed from STFT, the traditional ST converts the standard deviation σ of the window function into a frequency function. The traditional ST [28] of the signal x(t) is defined as…”

Section: Synchrosqueezing Adaptive S-transform Theorymentioning

confidence: 99%

Harmonics and Interharmonics Detection Based on Synchrosqueezing Adaptive S-Transform

Lou

et al. 2022

Energies

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The integration of renewable energy generation and nonlinear power electronic equipment into the grid brings about complex harmonics and interharmonics problems. The amplitude and frequency of harmonics and interharmonics should be detected by high time-frequency (T-F) resolution methods owing to their time-varying transient features. In this paper, a synchrosqueezing adaptive S-transform (SAST) method is proposed to detect the parameters of harmonics. Firstly, the time-frequency spectrum (TFS) of the harmonic signals is acquired by an adaptive S-transform (AST) algorithm. The TFS results are then subjected to synchronous compression, so as to achieve higher time-frequency representation precision. The detection results of the simulation signals show that SAST can achieve a better time-frequency resolution than the S-transform (ST) and synchrosqueezing short-time Fourier transform (SSTFT). In addition, the application of SAST to the analysis of experimental signals also suggests its superiority in the parameter detection of harmonics, especially for the time-varying interharmonics.

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“…Unfortunately, the limitations of traditional time-frequency techniques significantly hinder their practical effectiveness. To overcome the disadvantages of conventional methods and achieve a satisfactory time-frequency analysis, various approaches such as the time-reassigned synchro-squeezing wavelet transform (SSWT) [18], synchro-squeezing transform (SST) [19,20], demodulated SST (DSST) [21,22], high-order SST [23,24] and Stockwell transform (S-Transform) [25] have been presented, previously. Recently, the multi-synchro-squeezing Transform technique (MSST) [26] was proposed for time-frequency (TF) analysis with high resolution capability of different time-varying signals in different applications.…”

Section: Introductionmentioning

confidence: 99%

Enhanced Multi-Synchro-Squeezing Transform for Fault Diagnosis in Induction Machine Based on Third-Order Energy Operator of Stator Current Signature

Bazghandi,

Marzebali,

Abolghasemi

2024

IEEE Access

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In traditional motor current signature analysis (MCSA) approach, the spectral leakage of the fundamental supply frequency can obscure the characteristic fault component under low-load or no-load conditions. Furthermore, most time-frequency (TF) methods often have low resolution and are not qualified to produce a narrow band in the output. In this paper, we employ multi-synchro-squeezing transform (MSST) to show its effectiveness in fault detection of induction machines, for the first time. The key innovation of this work is merging MSST (due to its high time-frequency resolution) with the third-order energy operator (TOEO) (due to its high accuracy in fault detection). Specifically, TOEO is used to overcome the leakage effects of the supply frequency, through a demodulation approach for asymmetric fault detection along with MSST technique. The proposed method was evaluated for induction machine fault detection in both steadystate and transient conditions. Both analytical and experimental results confirm that the proposed method can excellently reveal the fault characteristic frequency in steady-state and transient mode, instead of the sideband frequencies.

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Matching Demodulation Synchrosqueezing S Transform and its Application in Seismic Time–Frequency Analysis

Cited by 9 publications

References 19 publications

A Comprehensive Overview on Modified Versions of Stockwell Transform For Power Quality Monitoring

A Comprehensive Overview on Modified Versions of Stockwell Transform For Power Quality Monitoring

Harmonics and Interharmonics Detection Based on Synchrosqueezing Adaptive S-Transform

Enhanced Multi-Synchro-Squeezing Transform for Fault Diagnosis in Induction Machine Based on Third-Order Energy Operator of Stator Current Signature

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