A Nonlinear Hanning-Windowed Chirplet Model for Ultrasonic Guided Waves Signal Parameter Representation

Chen, Honglei; Liu, Zenghua; Wu, Bin; He, Cunfu

doi:10.1007/s10921-020-00708-y

Cited by 4 publications

(1 citation statement)

References 26 publications

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“…Lian et al [28] constructed a dictionary composed of atoms with truncated Nakagami functions to approximate the overlapping UGW echoes. Chen et al [29] studied the nonlinear Hanning-windowed Chirplet (NHWC) model to eliminate the inconsistency between the known Chirplet model and practical situations. However, the original purpose of the above dictionary was only to maximize the reconstruction accuracy of the sparse signal decomposition, and it could not directly reveal the corresponding modes and propagation distances of the dispersive signals, which are quite often the most concerning contents of the UGW testing.…”

Section: Introductionmentioning

confidence: 99%

Reconstruction of Water-Filled Pipe Ultrasonic Guided Wave Signals in the Distance Domain by Orthogonal Matching Pursuit Based on Dispersion and Multi-Mode

Wang,

Tang,

Gong

et al. 2023

Sensors

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Ultrasonic guided waves (UGWs) in water-filled pipes are subject to more severe dispersion and attenuation than vacant pipes, posing significant challenges for defect identification and localization. To this end, a novel sparse signal decomposition method called orthogonal matching pursuit based on dispersion and multi-mode (DMOMP) was proposed, which utilizes the second-order asymptotic solution of dispersion curves and the conversion characteristics of asymmetric UGWs in the defect contact stage to reconstruct the dispersive signals and converts the time-domain dispersive signals to distance-domain non-dispersive signals by dispersion compensated time-distance mapping. The synthesized simulation results indicate that DMOMP not only exhibits higher reconstruction accuracy compared to OMP, but also reveals more accurate and stable mode recognition and localization compared to DOMP, which only considers the dispersion under perturbation and noise. In addition, the UGW testing experimental results of water-filled pipes verify the effectiveness of DMOMP, the localization accuracies of three feature signals (defct 1, defct 2 and end echo) with DMOMP are 99.10%, 98.72% and 98.36%, respectively, and the average localization accuracy of DMOMP is as high as 98.73%.

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Section: Introductionmentioning

confidence: 99%