A Frequency Sweep Location Method for Soft Faults of Power Cables Based on MUSIC-Pseudospectrum

Tang, Zhirong; Xu, Yefei; Zhou, Kai; Meng, Pengfei; Huang, Jingtao; Liang, Zhongying

doi:10.1109/tim.2023.3258522

Cited by 13 publications

(1 citation statement)

References 32 publications

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“…The time-frequency-domain reflectometry (TFDR) method extracts the advantages of FDR and TDR in defect detection and has been widely used in defect detection in power cables [19][20][21]. However, traditional TFDR uses the Wigner-Ville distribution (WVD) to process the reflected signals of power cables, which results in cross-term interference in the positioning spectrum produced via TFDR [22]. Although the pseudo-Wigner-Ville distribution (PWVD) [23] and the smooth pseudo-Wigner distribution (SPWVD) [24] have been proposed in the literature to reduce the cross-term interference, the cross-term interference still exists in actual tests.…”

Section: Introductionmentioning

confidence: 99%

A High-Resolution Defect Location Method for Medium-Voltage Cables Based on Gaussian Narrow-Band Envelope Signals and the S-Transform

Chen,

Yang,

Song

et al. 2024

Energies

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The time–frequency-domain reflection method (TFDR) based on the Wigner–Ville distribution (WVD) is confronted with the problem of cross-term interference in existing methods to locate power cable defects. Therefore, a new method of locating cable defects based on Gaussian narrow-band envelope signals and the S-transform is proposed in this paper. In this method, the wide-band cable transfer function is obtained by adjusting the parameters of the Gaussian narrow-band envelope signal because the Gaussian narrow-band envelope signal has a good frequency-adjusting ability and time–frequency characteristics. Then, the time–frequency of the cable signal is transformed by the generalized S-transform, and the time delay of the modular matrix of the transformation matrix is estimated by the generalized cross-correlation algorithm to complete the accurate detection of the cable defect’s location. Compared with traditional methods, the proposed method can adaptively adjust the analysis time width according to the frequency change and provide intuitive time–frequency characteristics without cross-term interference. Finally, the effectiveness and practicability of the proposed method are verified in MATLAB 2017_a by simulating a 40 m/10 kV medium-voltage power cable and submarine cable with a length of 32 km.

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Section: Introductionmentioning

confidence: 99%

A High-Resolution Defect Location Method for Medium-Voltage Cables Based on Gaussian Narrow-Band Envelope Signals and the S-Transform

Chen,

Yang,

Song

et al. 2024

Energies

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A defect location method for power cable based on Burg power spectral

Tang,

Zhou,

et al. 2024

Engineering Reports

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The frequency‐domain reflection (FDR) has been demonstrated to be a trustworthy technique in solving the defect location of power cable by field experiments. However, the location spectrum of the FDR requires manual window smoothing and can be disturbed by spurious peaks. Aiming at these shortcomings of FDR, a new method of cable defect location based on Burg power spectral (BPS) is introduced in this paper. The idea of this method is to use linear difference variance to fit the distribution of reflection coefficient spectrum and build an auto‐regressive (AR) model. The Burg algorithm is employed to estimate the coefficients model and calculate the power distribution of the AR model. Then, the cable defects will be located by BPS with high precision and resolution. In this method, the fast Fourier transform (FFT) with windowed function is replaced by an AR model without windowed function. This suppressed the impact of spurious peaks or spectrum leakage in FFT on the localization defects, and the localization resolution is higher. Finally, we validate the feasibility and effectiveness of BPS through experiments conducted on a 500 m laboratory cable and a 9.6 km submarine cable.

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Research on temperature measurement model of loose coal considering humidity using acoustic wave method

Qu,

Deng,

Ren

et al. 2024

Fuel

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A Frequency Sweep Location Method for Soft Faults of Power Cables Based on MUSIC-Pseudospectrum

Cited by 13 publications

References 32 publications

A High-Resolution Defect Location Method for Medium-Voltage Cables Based on Gaussian Narrow-Band Envelope Signals and the S-Transform

A High-Resolution Defect Location Method for Medium-Voltage Cables Based on Gaussian Narrow-Band Envelope Signals and the S-Transform

A defect location method for power cable based on Burg power spectral

Research on temperature measurement model of loose coal considering humidity using acoustic wave method

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