Evaluating the Properties of Railway Ballast Using Spectral Analysis of Ground Penetrating Radar Signal Based on Optimized Variational Mode Decomposition

Ground penetrating radar (GPR) has been widely applied in the assessment of railway ballast conditions (fouling, moisture) by using the spectrum of the tested GPR signal. However, the drawbacks of the low time-frequency resolution and mode mixing prevent the traditional spectrum methods from a wide...

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Bibliographic Details
Published in:Advances in civil engineering 2022, Vol.2022 (1)
Main Authors: Zatar, Wael, Hua, Xia, Chen, Gang, Nguyen, Hai, Nghiem, Hien
Format: Article
Language:English
Subjects:
Algorithms
Civil engineering
Decomposition
Fault diagnosis
Feature extraction
Fouling
Fourier transforms
Frequency analysis
Frequency spectrum
Ground penetrating radar
Methods
Moisture effects
Radar
Railroad ballast
Signal processing
Spectral analysis
Spectrum allocation
Spectrum analysis
Time-frequency analysis
Wavelet transforms
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Summary:Ground penetrating radar (GPR) has been widely applied in the assessment of railway ballast conditions (fouling, moisture) by using the spectrum of the tested GPR signal. However, the drawbacks of the low time-frequency resolution and mode mixing prevent the traditional spectrum methods from a wide application. This paper uses the advanced time-frequency analysis of GPR signal based on optimized variational mode decomposition to extract the features of ballast. The new approach overperforms the conventional frequency spectrum methods of GPR signal processing by giving a clear and quantitative assessment of ballast signals. Experimental results of GPR with dry and wet fouled ballasts demonstrate that, by comparison with the feature extraction method of conventional spectrum methods such as spectrogram and wavelet, the feature extraction method based on the optimized VMD has much better separability and quantitative identification capability.
ISSN:1687-8086
1687-8094
DOI:10.1155/2022/2840318